2012葡萄酒评价.zip 6.23MB
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<link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89563062/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89563062/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">1 </div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x2 h3 y3 ff1 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x3 h4 y4 ff2 fs2 fc0 sc0 ls0 ws0">葡萄酒的质量分析<span class="_ _0"></span>与评价<span class="ff1"> </span></div><div class="t m0 x4 h5 y5 ff2 fs3 fc0 sc0 ls0 ws0">摘要<span class="ff1"> </span></div><div class="t m0 x5 h6 y6 ff3 fs4 fc0 sc0 ls0 ws0">本文针对葡萄酒<span class="_ _0"></span>的质量分析与<span class="_ _0"></span>评价问题<span class="_ _0"></span>,以置信区间、优<span class="_ _0"></span>势矩阵、逐步回归分</div><div class="t m0 x2 h6 y7 ff3 fs4 fc0 sc0 ls0 ws0">析等方法和方差分<span class="_ _0"></span>析理论为基础,<span class="_ _0"></span>首先分析了两组评<span class="_ _0"></span>酒员评价结果,<span class="_ _0"></span>并确定可信的</div><div class="t m0 x2 h6 y8 ff3 fs4 fc0 sc0 ls0 ws0">评价组别;然后建<span class="_ _0"></span>立基于优势矩阵<span class="_ _0"></span>的等级划分模型,<span class="_ _0"></span>对两组葡萄样本<span class="_ _0"></span>进行了等级划</div><div class="t m0 x2 h6 y9 ff3 fs4 fc0 sc0 ls0 ws0">分;再利用关联度<span class="_ _0"></span>分析和逐步回归<span class="_ _0"></span>分析两种方法分析<span class="_ _0"></span>了酿酒葡萄和葡<span class="_ _0"></span>萄酒的理化指</div><div class="t m0 x2 h6 ya ff3 fs4 fc0 sc0 ls0 ws0">标之间的联系;最<span class="_ _0"></span>后对逐步回归分<span class="_ _0"></span>析法作多级嵌套改<span class="_ _0"></span>进,对葡萄和葡<span class="_ _0"></span>萄酒的理化指</div><div class="t m0 x2 h7 yb ff3 fs4 fc0 sc0 ls0 ws0">标能否评价葡萄酒质量的命题进行了论证。<span class="ff1"> </span></div><div class="t m0 x5 h6 yc ff3 fs4 fc0 sc0 ls0 ws0">针对问题一,考<span class="_ _0"></span>虑到评<span class="_ _0"></span>酒员之间可能存<span class="_ _0"></span>在主观因素导致的<span class="_ _0"></span>对酒样的评价差异悬</div><div class="t m0 x2 h6 yd ff3 fs4 fc0 sc0 ls0 ws0">殊,分别构造了以<span class="_ _0"></span>评酒员和酒样为<span class="_ _0"></span>组别的方差<span class="_ _0"></span>数据序列,通过进<span class="_ _0"></span>行双向显著性检验</div><div class="t m0 x2 h6 ye ff3 fs4 fc0 sc0 ls0 ws0">得到原始数据下评<span class="_ _0"></span>酒员间主观因素<span class="_ _0"></span>导致的差异极显著<span class="_ _0"></span>。然后分别引入<span class="_ _0"></span>标准化处理和</div><div class="t m0 x2 h6 yf ff3 fs4 fc0 sc0 ls0 ws0">置信区间法对数据<span class="_ _0"></span>进行处理,得到<span class="_ _0"></span>基于置信区间法的<span class="_ _0"></span>检验结果更优,<span class="_ _0"></span>再使用置信区</div><div class="t m0 x2 h6 y10 ff3 fs4 fc0 sc0 ls0 ws0">间法处理的数据进行了方差分析,<span class="_ _1"></span>通过比较</div><div class="c x6 y11 w2 h8"><div class="t m1 x7 h9 y12 ff4 fs5 fc0 sc0 ls0 ws0">F</div></div><div class="t m0 x8 h6 y10 ff3 fs4 fc0 sc0 ls0 ws0">统计量得到针对红葡萄酒和白葡萄酒,</div><div class="t m0 x2 h7 y13 ff3 fs4 fc0 sc0 ls0 ws0">分别为第一组和第二组的评价结果更可信的结论。<span class="ff1"> </span></div><div class="t m0 x5 h6 y14 ff3 fs4 fc0 sc0 ls0 ws0">针对问题二,基<span class="_ _0"></span>于对葡萄品质<span class="_ _0"></span>的分析,以外观<span class="_ _0"></span>等四项品质类型<span class="_ _0"></span>结合酿造葡萄酒</div><div class="t m0 x2 h6 y15 ff3 fs4 fc0 sc0 ls0 ws0">的质量构建了合理<span class="_ _0"></span>的葡萄等级划分<span class="_ _0"></span>指标体系。<span class="_ _0"></span>然后,通过均值聚<span class="_ _0"></span>类对理化指标进行</div><div class="t m0 x2 h6 y16 ff3 fs4 fc0 sc0 ls0 ws0">了类别划分;再通<span class="_ _0"></span>过引入优势因子<span class="_ _0"></span>建立了优势因子矩<span class="_ _0"></span>阵,基于数值差<span class="_ _0"></span>异性对指标进</div><div class="t m0 x2 h6 y17 ff3 fs4 fc0 sc0 ls0 ws0">行了清晰的等级划<span class="_ _0"></span>分。最后综合各<span class="_ _0"></span>项优势值与葡萄酒<span class="_ _0"></span>质量的优势值进<span class="_ _0"></span>行加权求和,</div><div class="t m0 x2 h6 y18 ff3 fs4 fc0 sc0 ls0 ws0">以区间方式得到葡<span class="_ _0"></span>萄的划分等级,<span class="_ _0"></span>得到了红色类型葡<span class="_ _0"></span>萄的等级划分较<span class="_ _0"></span>为合理,白色</div><div class="t m0 x2 h7 y19 ff3 fs4 fc0 sc0 ls0 ws0">类型葡萄的等级划分区分度较低的结论。<span class="ff1"> </span></div><div class="t m0 x5 h6 y1a ff3 fs4 fc0 sc0 ls0 ws0">针对问题三,<span class="ls1">基于</span>酿<span class="_ _0"></span>酒葡萄与葡萄酒的<span class="_ _0"></span>理化指标数据<span class="_ _0"></span>,首先构造了相<span class="_ _0"></span>关系数矩</div><div class="t m0 x2 h6 y1b ff3 fs4 fc0 sc0 ls0 ws0">阵对双方的理化指<span class="_ _0"></span>标进行了关联性<span class="_ _0"></span>分析,并选取了关<span class="_ _0"></span>联性高的指标对<span class="_ _0"></span>进行了假设性</div><div class="t m0 x2 h6 y1c ff3 fs4 fc0 sc0 ls0 ws0">探究;然后考虑了<span class="_ _0"></span>葡萄的多个理化<span class="_ _0"></span>指标对葡萄酒理化<span class="_ _0"></span>指标的综合影响<span class="_ _0"></span>,运用了逐步</div><div class="t m0 x2 h6 y1d ff3 fs4 fc0 sc0 ls0 ws0">回归分析,得到相<span class="_ _0"></span>应的回归方程,<span class="_ _0"></span>并选取了其中检验<span class="_ _0"></span>量高的指标<span class="_ _0"></span>组合进行了假设性</div><div class="t m0 x2 h7 y1e ff3 fs4 fc0 sc0 ls0 ws0">影响分析。<span class="ff1"> </span></div><div class="t m0 x5 h6 y1f ff3 fs4 fc0 sc0 ls0 ws0">针对问题四,首<span class="_ _0"></span>先将葡萄酒的<span class="_ _0"></span>质量评价划分为<span class="_ _0"></span>外观、香气和口<span class="_ _0"></span>感三种类型的评</div><div class="t m0 x2 h6 y20 ff3 fs4 fc0 sc0 ls0 ws0">价,然后分别针对<span class="_ _0"></span>三个方面以酒酿<span class="_ _0"></span>葡萄和葡萄酒的理<span class="_ _0"></span>化指标进行关联<span class="_ _0"></span>系分析;然后</div><div class="t m0 x2 h6 y21 ff3 fs4 fc0 sc0 ls0 ws0">在逐步回归分析的<span class="_ _0"></span>基础上作多级嵌<span class="_ _0"></span>套改进,分别用第<span class="_ _0"></span>一级和第二级对<span class="_ _0"></span>葡萄酒理化指</div><div class="t m0 x2 h6 y22 ff3 fs4 fc0 sc0 ls0 ws0">标和葡萄酒质量、<span class="_ _0"></span>酒酿葡萄和葡萄<span class="_ _0"></span>酒理化指标进行了<span class="_ _0"></span>逐步回归分析,<span class="_ _0"></span>最终经过论证</div><div class="t m0 x2 h6 y23 ff3 fs4 fc0 sc0 ls0 ws0">得到红葡萄酒的香<span class="_ _0"></span>气和口感可以通<span class="_ _0"></span>过葡萄和葡萄酒的<span class="_ _0"></span>理化指标进行评<span class="_ _0"></span>价,并针对无</div><div class="t m0 x2 h7 y24 ff3 fs4 fc0 sc0 ls0 ws0">法进行评价的部分进行了论证分析。<span class="ff1"> </span></div><div class="t m0 x5 h6 y25 ff3 fs4 fc0 sc0 ls0 ws0">最后,对模型中<span class="_ _0"></span>运用的方法进<span class="_ _0"></span>行了科学性分析<span class="_ _0"></span>,并讨论了<span class="_ _0"></span>模型的优缺点,考虑</div><div class="t m0 x2 h7 y26 ff3 fs4 fc0 sc0 ls0 ws0">了实际应用中的改进方向,提出了一些优化策略。<span class="ff1"> </span></div><div class="t m0 x5 h7 y27 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h7 y28 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h7 y29 ff2 fs4 fc0 sc0 ls0 ws0">关键词:<span class="ff5"> <span class="ff3">质量评价<span class="ff1 ls2"> </span>优势矩阵<span class="ff1 ls2"> </span>逐步回归<span class="ff1 ls2"> </span>置信区间<span class="ff1 ls2"> </span>关联性分析<span class="ff1"> </span></span></span></div></div><div class="pi" data-data='{"ctm":[1.611562,0.000000,0.000000,1.611562,0.000000,0.000000]}'></div></div><div id="pf2" class="pf w0 h0" data-page-no="2"><div class="pc pc2 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89563062/bg2.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">2 </div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x9 h5 y2a ff1 fs3 fc0 sc0 ls3 ws0">1.<span class="ff6 ls0"> <span class="_ _2"> </span><span class="ff2">问题的<span class="ls4">重述</span><span class="ff1"> </span></span></span></div><div class="t m0 x5 h6 y2b ff3 fs4 fc0 sc0 ls0 ws0">确定葡萄酒质量<span class="_ _0"></span>时一般是通过<span class="_ _0"></span>聘请一批有资质<span class="_ _0"></span>的评酒员进行品<span class="_ _0"></span>评。每个评酒员</div><div class="t m0 x2 h6 y2c ff3 fs4 fc0 sc0 ls0 ws0">在对葡萄酒进行品<span class="_ _0"></span>尝后对其分类指<span class="_ _0"></span>标打分,然后求和<span class="_ _0"></span>得到其总分,从<span class="_ _0"></span>而确定葡萄酒</div><div class="t m0 x2 h6 y2d ff3 fs4 fc0 sc0 ls0 ws0">的质量。酿酒葡萄<span class="_ _0"></span>的好坏与所酿葡<span class="_ _0"></span>萄酒的质量有直接<span class="_ _0"></span>的关系,葡萄酒<span class="_ _0"></span>和酿酒葡萄检</div><div class="t m0 x2 h6 y2e ff3 fs4 fc0 sc0 ls0 ws0">测的理化指标会在<span class="_ _0"></span>一定程度上反映<span class="_ _0"></span>葡萄酒和葡萄的质<span class="_ _0"></span>量。题目<span class="ls1">附件</span>一给出了<span class="_ _0"></span>某一年</div><div class="t m0 x2 h6 y2f ff3 fs4 fc0 sc0 ls0 ws0">份一些葡萄酒的评<span class="_ _0"></span>价结果,<span class="ls1">题目附件</span>二和题目附件三<span class="_ _0"></span>分别给出了该年<span class="_ _0"></span>份这些葡萄酒</div><div class="t m0 x2 h7 y30 ff3 fs4 fc0 sc0 ls0 ws0">的和酿酒葡萄的成分数据。题目要求尝试建立数学模型讨论下列问题:<span class="ff1"> </span></div><div class="t m0 x2 h7 y31 ff1 fs4 fc0 sc0 ls0 ws0">1.<span class="ff6"> <span class="_ _3"> </span><span class="ff3 ls1">分析<span class="ls5">题目附件<span class="ls0">一中两<span class="_ _0"></span>组评<span class="_ _0"></span>酒员<span class="_ _0"></span>的评<span class="_ _0"></span>价结<span class="_ _0"></span>果有<span class="_ _0"></span>无显<span class="_ _0"></span>著性<span class="_ _0"></span>差异<span class="_ _0"></span>,<span class="_ _0"></span>并<span class="_ _0"></span>讨论<span class="_ _0"></span>哪一<span class="_ _0"></span>组结果</span></span></span></span></div><div class="t m0 xa h7 y32 ff3 fs4 fc0 sc0 ls0 ws0">更可信。<span class="ff1"> </span></div><div class="t m0 x2 h7 y33 ff1 fs4 fc0 sc0 ls0 ws0">2.<span class="ff6"> <span class="_ _3"> </span><span class="ff3">根据酿酒葡萄的理化指标和葡萄酒的质量对这些酿酒葡萄进行分级。</span></span> </div><div class="t m0 x2 h7 y34 ff1 fs4 fc0 sc0 ls0 ws0">3.<span class="ff6"> <span class="_ _3"> </span><span class="ff3">分析酿酒葡萄与葡萄酒的理化指标之间的联系。</span></span> </div><div class="t m0 x2 h7 y35 ff1 fs4 fc0 sc0 ls0 ws0">4.<span class="ff6"> <span class="_ _3"> </span><span class="ff3">分析酿<span class="_ _0"></span>酒葡<span class="_ _0"></span>萄和<span class="_ _0"></span>葡萄<span class="_ _0"></span>酒<span class="_ _0"></span>的理化<span class="_ _0"></span>指标<span class="_ _0"></span>对葡<span class="_ _0"></span>萄酒<span class="_ _0"></span>质<span class="_ _0"></span>量的影<span class="_ _0"></span>响,<span class="_ _0"></span>并论<span class="_ _0"></span>证能<span class="_ _0"></span>否<span class="_ _0"></span>用葡萄<span class="_ _0"></span>和</span></span></div><div class="t m0 xa h7 y36 ff3 fs4 fc0 sc0 ls0 ws0">葡萄酒的理化指标来评价葡萄酒的质量。<span class="ff1"> </span></div><div class="t m0 xb h7 y37 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x9 h5 y38 ff1 fs3 fc0 sc0 ls3 ws0">2.<span class="ff6 ls0"> <span class="_ _2"> </span><span class="ff2">问题的<span class="ls4">分析</span><span class="ff1"> </span></span></span></div><div class="t m0 x2 h7 y39 ff1 fs4 fc0 sc0 ls0 ws0">2.1<span class="ff6"> <span class="_ _4"> </span><span class="ff2">问题一的分析</span></span> </div><div class="t m0 x5 h6 y3a ff3 fs4 fc0 sc0 ls0 ws0">该问题要求分析<span class="_ _0"></span>题目附件一中<span class="_ _0"></span>两组评酒员的评<span class="_ _0"></span>价结果有无显著<span class="_ _0"></span>性差异,并分析</div><div class="t m0 x2 h7 y3b ff3 fs4 fc0 sc0 ls0 ws0">哪一组的结果更可信。<span class="ff1"> </span></div><div class="t m0 x5 h6 y3c ff3 fs4 fc0 sc0 ls0 ws0">显著性差异是统<span class="_ _0"></span>计学上有量度<span class="_ _0"></span>的对数据差异性<span class="_ _0"></span>的或然评价。分<span class="_ _0"></span>析评酒员的评价</div><div class="t m0 x2 h6 y3d ff3 fs4 fc0 sc0 ls0 ws0">结果有无显著性差<span class="_ _0"></span>异,即反映需研<span class="_ _0"></span>究评酒员对酒样评<span class="_ _0"></span>分的数值序列是<span class="_ _0"></span>否有较大的偏</div><div class="t m0 x2 h6 y3e ff3 fs4 fc0 sc0 ls0 ws0">差。根据题意,葡<span class="_ _0"></span>萄酒的质量评价<span class="_ _0"></span>是通过评酒员的品<span class="_ _0"></span>评进行评分从而<span class="_ _0"></span>得到评价的,</div><div class="t m0 x2 h6 y3f ff3 fs4 fc0 sc0 ls0 ws0">考虑到评酒员之间<span class="_ _0"></span>可能存在个人评<span class="_ _0"></span>酒风格等主观差异<span class="_ _0"></span>因素,若不同评<span class="_ _0"></span>酒员之间的主</div><div class="t m0 x2 h6 y40 ff3 fs4 fc0 sc0 ls0 ws0">观因素差异过大,<span class="_ _0"></span>可能导致不同评<span class="_ _0"></span>酒员对于同一葡萄<span class="_ _0"></span>酒样的评价差异<span class="_ _0"></span>悬殊,影响酒</div><div class="t m0 x2 h7 y41 ff3 fs4 fc0 sc0 ls0 ws0">样的质量鉴定,因此需要对主观因素的影响程度进行检验。<span class="ff1"> </span></div><div class="t m0 x5 h6 y42 ff3 fs4 fc0 sc0 ls0 ws0">对于数据的偏差<span class="_ _0"></span>性检验和影响<span class="_ _0"></span>因素的挖掘,可<span class="_ _0"></span>采用方差分析对<span class="_ _0"></span>数据序列进行处</div><div class="t m0 x2 h6 y43 ff3 fs4 fc0 sc0 ls0 ws0">理,通过将方差分<span class="_ _0"></span>析中的检验量与<span class="_ _0"></span>显著性水平<span class="_ _0"></span>下的检验值相比较<span class="_ _0"></span>从而验证差异性是</div><div class="t m0 x2 h6 y44 ff3 fs4 fc0 sc0 ls0 ws0">否显著。考虑到涉<span class="_ _0"></span>及主观因素的差<span class="_ _0"></span>异性对酒样评分的<span class="_ _0"></span>影响是否显著,<span class="_ _0"></span>还可通过分别</div><div class="t m0 x2 h6 y45 ff3 fs4 fc0 sc0 ls0 ws0">构造以评酒员为组<span class="_ _0"></span>别、元素为单个<span class="_ _0"></span>酒样的评分方差数<span class="_ _0"></span>据序列和以酒样<span class="_ _0"></span>为组别,元素</div><div class="t m0 x2 h6 y46 ff3 fs4 fc0 sc0 ls0 ws0">为单个评酒员对全<span class="_ _0"></span>部酒样的评分方<span class="_ _0"></span>差数据序列,基于<span class="_ _0"></span>两类数据序列进<span class="_ _0"></span>行双向显著性</div><div class="t m0 x2 h6 y47 ff3 fs4 fc0 sc0 ls0 ws0">检验,通过比较两<span class="_ _0"></span>者的检验量进行<span class="_ _0"></span>分析。若以评酒员<span class="_ _0"></span>为组别的序列的<span class="_ _0"></span>差异性检验量</div><div class="t m0 x2 h6 y48 ff3 fs4 fc0 sc0 ls0 ws0">显著高于以酒样为<span class="_ _0"></span>组别的序列,则<span class="_ _0"></span>表明评酒员之间主<span class="_ _0"></span>观因素造成的葡<span class="_ _0"></span>萄酒质量评价</div><div class="t m0 x2 h7 y49 ff3 fs4 fc0 sc0 ls0 ws0">差异更显著,则需要对数据进行处理降低这种差异性。<span class="ff1"> </span></div><div class="t m0 x5 h6 y4a ff3 fs4 fc0 sc0 ls0 ws0">数据处理的方法<span class="_ _0"></span>有多种,如标<span class="_ _0"></span>准化处理、聚类<span class="_ _0"></span>处理和区间收敛<span class="_ _0"></span>处理等,可<span class="_ _0"></span>根据</div></div><div class="pi" data-data='{"ctm":[1.611562,0.000000,0.000000,1.611562,0.000000,0.000000]}'></div></div><div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89563062/bg3.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">3 </div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x2 h6 y4b ff3 fs4 fc0 sc0 ls0 ws0">对原始数据进行方<span class="_ _0"></span>差分析出现的问<span class="_ _0"></span>题相应选取合适的<span class="_ _0"></span>数据处理方法,<span class="_ _0"></span>处理后根据检</div><div class="t m0 x2 h7 y4c ff3 fs4 fc0 sc0 ls0 ws0">验的效果进行分析,并对数据处理方法进行优劣比较。<span class="ff1"> </span></div><div class="t m0 x2 h7 y4d ff1 fs4 fc0 sc0 ls0 ws0">2.2<span class="ff6"> <span class="_ _4"> </span><span class="ff2">问题二的分析</span></span> </div><div class="t m0 x5 h6 y4e ff3 fs4 fc0 sc0 ls0 ws0">该问题要求根据<span class="_ _0"></span>酿酒葡萄的理<span class="_ _0"></span>化指标和葡萄酒<span class="_ _0"></span>的质量对题目附<span class="_ _0"></span>件中的酿酒葡萄</div><div class="t m0 x2 h7 y4f ff3 fs4 fc0 sc0 ls0 ws0">进行分级。<span class="ff1"> </span></div><div class="t m0 x5 h6 y50 ff3 fs4 fc0 sc0 ls0 ws0">首先,考虑到酿<span class="_ _0"></span>酒葡萄理化指<span class="_ _0"></span>标的数量和种类<span class="_ _0"></span>较为繁杂,可借<span class="_ _0"></span>鉴现有的葡萄品</div><div class="t m0 x2 h6 y51 ff3 fs4 fc0 sc0 ls0 ws0">质评价体系,<span class="_ _1"></span>确定影响葡萄品质的大方向类别,<span class="_ _1"></span>再结合题目数据中提供的理化指标,</div><div class="t m0 x2 h7 y52 ff3 fs4 fc0 sc0 ls0 ws0">筛选一定数目的理化指标构建葡萄品质等级划分体系。<span class="ff1"> </span></div><div class="t m0 x5 h6 y53 ff3 fs4 fc0 sc0 ls0 ws0">然后,针对指标<span class="_ _0"></span>体系中的每一<span class="_ _0"></span>种方向类别,可<span class="_ _0"></span>使用聚类方法基<span class="_ _0"></span>于指标间数值的</div><div class="t m0 x2 h6 y54 ff3 fs4 fc0 sc0 ls0 ws0">相似性将其初步划<span class="_ _0"></span>分成若干类别,<span class="_ _0"></span>则对于类别<span class="_ _0"></span>中的理化指标,可<span class="_ _0"></span>引入优势因子以等</div><div class="t m0 x2 h6 y55 ff3 fs4 fc0 sc0 ls0 ws0">级方式刻画其数之<span class="_ _0"></span>间的差异性,建<span class="_ _0"></span>立相应的优势因子<span class="_ _0"></span>矩阵,再通过计<span class="_ _0"></span>算聚类所得的</div><div class="t m0 x2 h6 y56 ff3 fs4 fc0 sc0 ls0 ws0">类别内所有指标的<span class="_ _0"></span>优势因子总和并<span class="_ _0"></span>进行比较,确定类<span class="_ _0"></span>别间的优势值的<span class="_ _0"></span>高低,进而确</div><div class="t m0 x2 h6 y57 ff3 fs4 fc0 sc0 ls0 ws0">定聚类所得的类别<span class="_ _0"></span>对应的等级,通<span class="_ _0"></span>过对各方向类别应<span class="_ _0"></span>用优势矩阵,可<span class="_ _0"></span>分别得到类别</div><div class="t m0 x2 h6 y58 ff3 fs4 fc0 sc0 ls0 ws0">中各等级的优势值<span class="_ _0"></span>,最后通过加权<span class="_ _0"></span>求和或均值等数值<span class="_ _0"></span>处理,将基于优<span class="_ _0"></span>势值的各方向</div><div class="t m0 x2 h7 y59 ff3 fs4 fc0 sc0 ls0 ws0">类别的等级划分综合得到总的等级划分。<span class="ff1"> </span></div><div class="t m0 x5 h6 y5a ff3 fs4 fc0 sc0 ls0 ws0">此外,<span class="_ _1"></span>结合实际情况进行考虑,<span class="_ _1"></span>酿酒葡萄是为酿造葡萄酒而规模性种植的品种,</div><div class="t m0 x2 h6 y5b ff3 fs4 fc0 sc0 ls0 ws0">因此酿酒葡萄的品<span class="_ _0"></span>质等级划分应与<span class="_ _0"></span>其酿造的葡萄酒质<span class="_ _0"></span>量构建关系,可<span class="_ _0"></span>借助问题一的</div><div class="t m0 x2 h6 y5c ff3 fs4 fc0 sc0 ls0 ws0">求解结果,<span class="_ _5"></span>以较可信合理评酒员组评价结果作为葡萄酒质量的量化值进行等级划分,</div><div class="t m0 x2 h6 y5d ff3 fs4 fc0 sc0 ls0 ws0">基于其等级赋予相<span class="_ _0"></span>应的优势因子,<span class="_ _0"></span>最后通过权衡酿酒<span class="_ _0"></span>成品的质量和方<span class="_ _0"></span>向类别的理化</div><div class="t m0 x2 h6 y5e ff3 fs4 fc0 sc0 ls0 ws0">指标的重要性程度<span class="_ _0"></span>,将两者综合得<span class="_ _0"></span>到总的葡萄品质优<span class="_ _0"></span>势值,并以此为<span class="_ _0"></span>基准进行等级</div><div class="t m0 x2 h7 y5f ff3 fs4 fc0 sc0 ls0 ws0">划分,求算出红种类葡萄和白种类葡萄样本的所属等级。<span class="ff1"> </span></div><div class="t m0 x2 h7 y60 ff1 fs4 fc0 sc0 ls0 ws0">2.3<span class="ff6"> <span class="_ _4"> </span><span class="ff2">问题三的分析</span></span> </div><div class="t m0 x5 h7 y61 ff3 fs4 fc0 sc0 ls0 ws0">该问题要求分析酿酒葡萄与葡萄酒的理化指标之间的联系。<span class="ff1"> </span></div><div class="t m0 x5 h6 y62 ff3 fs4 fc0 sc0 ls0 ws0">葡萄酒是酿酒葡<span class="_ _0"></span>萄通过多重酿<span class="_ _0"></span>酒工艺制得的,<span class="_ _0"></span>中间必然发生多<span class="_ _0"></span>种交叉复合的化</div><div class="t m0 x2 h6 y63 ff3 fs4 fc0 sc0 ls0 ws0">学反应。分析酿酒<span class="_ _0"></span>葡萄与葡萄酒的<span class="_ _0"></span>理化指标之间的联<span class="_ _0"></span>系,可以理解为<span class="_ _0"></span>通过对理化指</div><div class="t m0 x2 h6 y64 ff3 fs4 fc0 sc0 ls0 ws0">标的数据进行相关<span class="_ _0"></span>分析,得到指标<span class="_ _0"></span>和指标之间的关联<span class="_ _0"></span>性,进而分析酿<span class="_ _0"></span>酒过程中指标</div><div class="t m0 x2 h7 y65 ff3 fs4 fc0 sc0 ls0 ws0">代表的物质之间相互可能产生的促进性或阻抗性影响。<span class="ff1"> </span></div><div class="t m0 x5 h6 y66 ff3 fs4 fc0 sc0 ls0 ws0">此外,考虑到化<span class="_ _0"></span>学反应的复杂<span class="_ _0"></span>性,指标之间的<span class="_ _0"></span>相互影响更可能<span class="_ _0"></span>属于多因素影响</div><div class="t m0 x2 h6 y67 ff3 fs4 fc0 sc0 ls0 ws0">单一因素,或者多<span class="_ _0"></span>因素综合影响另<span class="_ _0"></span>一组多因素。考虑<span class="_ _0"></span>到酿酒葡萄和葡<span class="_ _0"></span>萄酒之间,只</div><div class="t m0 x2 h6 y68 ff3 fs4 fc0 sc0 ls0 ws0">能存在酿酒葡萄理<span class="_ _0"></span>化指标对葡萄酒<span class="_ _0"></span>理化指标作单方面<span class="_ _0"></span>的影响,则问题<span class="_ _0"></span>可转化为探究</div><div class="t m0 x2 h6 y69 ff3 fs4 fc0 sc0 ls0 ws0">酿酒葡萄的理化指<span class="_ _0"></span>标对葡萄酒理化<span class="_ _0"></span>指标的多种<span class="_ _0"></span>影响可能性,其中<span class="_ _0"></span>一种可能性对应着</div><div class="t m0 x2 h6 y6a ff3 fs4 fc0 sc0 ls0 ws0">一种因素组合的关<span class="_ _0"></span>联。针对多因素<span class="_ _0"></span>之间的关联性分析<span class="_ _0"></span>则需要通过回归<span class="_ _0"></span>方法,寻求多</div><div class="t m0 x2 h6 y6b ff3 fs4 fc0 sc0 ls0 ws0">因素之间贴近数值<span class="_ _0"></span>关联的函数关系<span class="_ _0"></span>,依次进一步分析<span class="_ _0"></span>多因素在对单一<span class="_ _0"></span>因素或多因素</div><div class="t m0 x2 h6 y6c ff3 fs4 fc0 sc0 ls0 ws0">产生影响时,各影<span class="_ _0"></span>响因素的影响力<span class="_ _0"></span>贡献程度。对于寻<span class="_ _0"></span>求多个解释变量<span class="_ _0"></span>与被解释变量</div><div class="t m0 x2 h6 y6d ff3 fs4 fc0 sc0 ls0 ws0">的关系时,可以借<span class="_ _0"></span>助逐步回归分析<span class="_ _0"></span>法进行计算。其核<span class="_ _0"></span>心思想是通过不<span class="_ _0"></span>断地增减解释</div><div class="t m0 x2 h6 y6e ff3 fs4 fc0 sc0 ls0 ws0">变量并反复检验显<span class="_ _0"></span>著性以得到与被<span class="_ _0"></span>解释变量关联最为<span class="_ _0"></span>显著的因素组合<span class="_ _0"></span>。通过使用逐</div><div class="t m0 x2 h6 y6f ff3 fs4 fc0 sc0 ls0 ws0">步回归,以酿酒葡<span class="_ _0"></span>萄理化指标为解<span class="_ _0"></span>释变量分别求解对<span class="_ _0"></span>应各项葡萄酒理<span class="_ _0"></span>化指标为被解</div><div class="t m0 x2 h7 y70 ff3 fs4 fc0 sc0 ls0 ws0">释变量的回归方程,得到相应的数量关系并以此作分析。<span class="ff1"> </span></div></div><div class="pi" data-data='{"ctm":[1.611562,0.000000,0.000000,1.611562,0.000000,0.000000]}'></div></div><div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89563062/bg4.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">4 </div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x2 h7 y4b ff1 fs4 fc0 sc0 ls0 ws0">2.4<span class="ff6"> <span class="_ _4"> </span><span class="ff2">问题四的分析</span></span> </div><div class="t m0 x5 h6 y71 ff3 fs4 fc0 sc0 ls0 ws0">该问题要求分析<span class="_ _0"></span>酿酒葡萄和葡<span class="_ _0"></span>萄酒的理化指标<span class="_ _0"></span>对葡萄酒质量的<span class="_ _0"></span>影响,并论证是</div><div class="t m0 x2 h7 y72 ff3 fs4 fc0 sc0 ls0 ws0">否能用葡萄和葡萄酒的理化指标来评价葡萄酒的质量。<span class="ff1"> </span></div><div class="t m0 x5 h6 y73 ff3 fs4 fc0 sc0 ls0 ws0">题目中评酒员通<span class="_ _0"></span>过外观品质、<span class="_ _0"></span>香气品质和口感<span class="_ _0"></span>品质三种类型的<span class="_ _0"></span>指标对葡萄酒的</div><div class="t m0 x2 h6 y74 ff3 fs4 fc0 sc0 ls0 ws0">质量进行评价,因<span class="_ _0"></span>此针对理化指标<span class="_ _0"></span>对葡萄酒质量的影<span class="_ _0"></span>响分析可从该三<span class="_ _0"></span>种类型着手进</div><div class="t m0 x2 h6 y75 ff3 fs4 fc0 sc0 ls0 ws0">行探究。对于外观<span class="_ _0"></span>品质和香气品质<span class="_ _0"></span>,应分别与酿酒葡<span class="_ _0"></span>萄和葡萄酒的理<span class="_ _0"></span>化指标和芳香</div><div class="t m0 x2 h6 y76 ff3 fs4 fc0 sc0 ls0 ws0">物质指标具有较大<span class="_ _0"></span>的关联,而口感<span class="_ _0"></span>品质相对较为复杂<span class="_ _0"></span>,可能与理化指<span class="_ _0"></span>标和芳香物质</div><div class="t m0 x2 h6 y77 ff3 fs4 fc0 sc0 ls0 ws0">指标均具备一定的<span class="_ _0"></span>关联。因此可将<span class="_ _0"></span>酿酒葡萄和葡萄酒<span class="_ _0"></span>的理化指标和芳<span class="_ _0"></span>香物质指标分</div><div class="t m0 x2 h6 y78 ff3 fs4 fc0 sc0 ls0 ws0">别在三种类型的指<span class="_ _0"></span>标上进行关联性<span class="_ _0"></span>分析,对其关联度<span class="_ _0"></span>高的指标,分析<span class="_ _0"></span>其对葡萄酒质</div><div class="t m0 x2 h7 y79 ff3 fs4 fc0 sc0 ls0 ws0">量的影响的体现。<span class="ff1"> </span></div><div class="t m0 x5 h6 y7a ff3 fs4 fc0 sc0 ls0 ws0">类比于问题三的<span class="_ _0"></span>分析,由于化<span class="_ _0"></span>学反应和物质呈<span class="_ _0"></span>现性质的复杂性<span class="_ _0"></span>,理化指标对葡</div><div class="t m0 x2 h6 y7b ff3 fs4 fc0 sc0 ls0 ws0">萄酒质量的影响更<span class="_ _0"></span>可能属于多因素<span class="_ _0"></span>影响单一因素,则<span class="_ _0"></span>可针对理化指标<span class="_ _0"></span>和葡萄酒质量</div><div class="t m0 x2 h7 y7c ff3 fs4 fc0 sc0 ls0 ws0">进行逐步回归分析。<span class="ff1"> </span></div><div class="t m0 x5 h6 y7d ff3 fs4 fc0 sc0 ls0 ws0">考虑到与葡萄酒<span class="_ _0"></span>的质量成最直<span class="_ _0"></span>接关联的应该是<span class="_ _0"></span>葡萄酒中的化学<span class="_ _0"></span>物质,即其对应</div><div class="t m0 x2 h6 y7e ff3 fs4 fc0 sc0 ls0 ws0">的理化指标;而酿<span class="_ _0"></span>酒葡萄中的理化<span class="_ _0"></span>指标由于经过酿酒<span class="_ _0"></span>过程转化成葡萄<span class="_ _0"></span>酒中的理化指</div><div class="t m0 x2 h6 y7f ff3 fs4 fc0 sc0 ls0 ws0">标,其对于葡萄酒<span class="_ _0"></span>质量的影响则相<span class="_ _0"></span>应较低。因此可在<span class="_ _0"></span>逐步回归分析的<span class="_ _0"></span>基础上基于葡</div><div class="t m0 x2 h6 y80 ff3 fs4 fc0 sc0 ls0 ws0">萄和葡萄酒的关系<span class="_ _0"></span>扩展成多级逐步<span class="_ _0"></span>回归分析,第一级<span class="_ _0"></span>以葡萄酒的理化<span class="_ _0"></span>指标为解<span class="_ _0"></span>释变</div><div class="t m0 x2 h6 y81 ff3 fs4 fc0 sc0 ls0 ws0">量与葡萄酒的质量<span class="_ _0"></span>进行直接逐步回<span class="_ _0"></span>归分析;第二级则<span class="_ _0"></span>以葡萄的理化指<span class="_ _0"></span>标为解释变量</div><div class="t m0 x2 h6 y82 ff3 fs4 fc0 sc0 ls0 ws0">与葡萄酒的理化指<span class="_ _0"></span>标进行回归分析<span class="_ _0"></span>;从而论证是否能<span class="_ _0"></span>用葡萄和葡萄酒<span class="_ _0"></span>的理化指标评</div><div class="t m0 x2 h7 y83 ff3 fs4 fc0 sc0 ls0 ws0">价葡萄酒的质量这一命题则可转化为:<span class="ff1">(1)</span>针对葡萄酒的理化指标,是否能通过逐步</div><div class="t m0 x2 h6 y84 ff3 fs4 fc0 sc0 ls0 ws0">回归分析得到关于<span class="_ _0"></span>葡萄酒理化指标<span class="_ _0"></span>和葡萄酒质量的回<span class="_ _0"></span>归方程,并且方<span class="_ _0"></span>程的检验量能</div><div class="t m0 x2 h7 y85 ff3 fs4 fc0 sc0 ls0 ws0">通过显著性检验;<span class="_ _6"></span><span class="ff1">(2)<span class="ff3">针对葡萄的理化指标,<span class="_ _6"></span>仅当<span class="ff1">(1)</span>情况得以成立时,<span class="_ _6"></span>是否能通过逐</span></span></div><div class="t m0 x2 h6 y86 ff3 fs4 fc0 sc0 ls0 ws0">步回归分析得到关<span class="_ _0"></span>于葡萄理化指标<span class="_ _0"></span>和葡萄酒理化指标<span class="_ _0"></span>的回归方程,并<span class="_ _0"></span>且方程的检验</div><div class="t m0 x2 h7 y87 ff3 fs4 fc0 sc0 ls0 ws0">量能通过显著性检验。<span class="ff1"> </span></div><div class="t m0 xb h7 y88 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h5 y89 ff1 fs3 fc0 sc0 ls3 ws0">3.<span class="ff6 ls0"> <span class="_ _2"> </span><span class="ff2">模型的<span class="ls4">假设</span>与<span class="ls4">符号的<span class="_ _0"></span></span>说明<span class="ff1"> </span></span></span></div><div class="t m0 x2 h7 y8a ff1 fs4 fc0 sc0 ls0 ws0">3.1<span class="ff6"> <span class="_ _4"> </span><span class="ff2">模型的假设与使用</span></span> </div><div class="t m0 x5 h7 y8b ff3 fs4 fc0 sc0 ls0 ws0">(<span class="ff1">1</span>)题目附件中所提供的各项理化指标数据均真实可靠;<span class="ff1"> </span></div><div class="t m0 x5 h7 y8c ff3 fs4 fc0 sc0 ls0 ws0">(<span class="ff1">2</span>)假设酿酒葡萄和葡萄酒的理化指标和芳香物质<span class="_ _0"></span>在一定<span class="_ _0"></span>时间内<span class="_ _0"></span>不发生<span class="_ _0"></span>改变<span class="_ _0"></span>;<span class="_ _7"></span><span class="ff1"> </span></div><div class="t m0 x2 h7 y8d ff1 fs4 fc0 sc0 ls0 ws0">3.2<span class="ff6"> <span class="_ _4"> </span><span class="ff2">符号的说明与使用</span></span> </div><div class="c xd y8e w3 ha"><div class="t m2 x7 hb y8f ff4 fs6 fc0 sc0 ls6 ws0">SS</div></div><div class="c x2 y90 w4 hc"><div class="t m0 xe h6 y91 ff3 fs4 fc0 sc0 ls0 ws0">——<span class="ff7"> </span></div></div><div class="c xf y90 w5 hd"><div class="t m0 x0 h6 y91 ff3 fs4 fc0 sc0 ls0 ws0">表示误差平方和<span class="ff8"> </span></div></div><div class="c x10 y92 w6 he"><div class="t m3 x7 hf y93 ff4 fs7 fc0 sc0 ls0 ws0">df</div></div><div class="c x2 y94 w4 h10"><div class="t m0 xe h6 y95 ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h11 y96 ff7 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf y97 w5 h12"><div class="t m0 x0 h3 y98 ff3 fs4 fc0 sc0 ls0 ws0">表示自由度<span class="ff1 fs1"> </span></div></div><div class="c x12 y99 w7 ha"><div class="t m4 x7 hb y8f ff4 fs6 fc0 sc0 ls7 ws0">MS</div></div><div class="c x2 y9a w4 h13"><div class="t m0 xe h6 y9b ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h11 y9c ff7 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf y9d w5 h14"><div class="t m0 x0 h7 y9e ff3 fs4 fc0 sc0 ls0 ws0">表示均方差<span class="ff1"> </span></div></div></div><div class="pi" data-data='{"ctm":[1.611562,0.000000,0.000000,1.611562,0.000000,0.000000]}'></div></div><div id="pf5" class="pf w0 h0" data-page-no="5"><div class="pc pc5 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89563062/bg5.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">5 </div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="c x13 y9f w8 h15"><div class="t m5 x7 h16 ya0 ff4 fs8 fc0 sc0 ls0 ws0">F</div></div><div class="c x2 ya1 w4 h17"><div class="t m0 xe h6 ya2 ff3 fs4 fc0 sc0 ls0 ws0">——<span class="ff8"> </span></div></div><div class="c xf ya1 w5 h18"><div class="t m0 x0 h6 ya2 ff3 fs4 fc0 sc0 ls0 ws0">表示显著性统计量<span class="ff8"> </span></div></div><div class="c x14 ya3 w9 ha"><div class="t m6 x15 h19 y8f ff1 fs6 fc0 sc0 ls0 ws0">-<span class="_ _8"></span><span class="ff4">F<span class="_ _9"> </span>c<span class="_ _a"></span>ri<span class="_ _a"></span>t</span></div></div><div class="c x2 ya4 w4 h1a"><div class="t m0 xe h6 ya5 ff3 fs4 fc0 sc0 ls0 ws0">——<span class="ff8"> </span></div></div><div class="c xf ya4 w5 h1a"><div class="t m0 x0 h7 ya6 ff3 fs4 fc0 sc0 ls0 ws0">表示基于显著性水平为<span class="_ _b"> </span><span class="ff1">0.01<span class="_"> </span></span>的</div></div><div class="c x16 ya7 w8 h15"><div class="t m5 x7 h16 ya0 ff4 fs8 fc0 sc0 ls0 ws0">F</div></div><div class="c xf ya4 w5 h1a"><div class="t m0 x17 h7 ya6 ff3 fs4 fc0 sc0 ls0 ws0">值<span class="ff1"> </span></div></div><div class="c x18 ya8 wa h1b"><div class="t m7 x19 h1c ya9 ff4 fs9 fc0 sc0 ls8 ws0">ij</div><div class="t m8 x1a h1d yaa ff9 fsa fc0 sc0 ls0 ws0"></div></div><div class="c x2 yab w4 h1e"><div class="t m0 xe h6 yac ff3 fs4 fc0 sc0 ls0 ws0">——<span class="ff8"> </span></div></div><div class="c xf yab w5 h1e"><div class="t m0 x0 h6 yad ff3 fs4 fc0 sc0 ls0 ws0">表示第</div></div><div class="c x1b yae wb h15"><div class="t m9 x1c h1f yaf ff4 fsb fc0 sc0 ls0 ws0">i</div></div><div class="c xf yab w5 h1e"><div class="t m0 x1d h6 yad ff3 fs4 fc0 sc0 ls0 ws0">位评酒员对编号为</div></div><div class="c x1e yae wc h20"><div class="t ma x1f h21 yb0 ff4 fsc fc0 sc0 ls0 ws0">j</div></div><div class="c xf yab w5 h1e"><div class="t m0 x20 h6 yad ff3 fs4 fc0 sc0 ls0 ws0">的酒样评分的标准化处理值<span class="ff8"> </span></div></div><div class="c x18 yb1 wa h22"><div class="t mb x19 h23 yb2 ff4 fsd fc0 sc0 ls9 ws0">ij</div><div class="t mb x7 h24 yb3 ff4 fse fc0 sc0 ls0 ws0">x</div></div><div class="c x2 yb4 w4 h1a"><div class="t m0 xe h6 yac ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 yb5 ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf yb4 w5 h1a"><div class="t m0 x0 h6 yad ff3 fs4 fc0 sc0 ls0 ws0">表示第</div></div><div class="c x1b yb6 wb h15"><div class="t m9 x1c h1f yaf ff4 fsb fc0 sc0 ls0 ws0">i</div></div><div class="c xf yb4 w5 h1a"><div class="t m0 x1d h6 yad ff3 fs4 fc0 sc0 ls0 ws0">位评酒员对编号为</div></div><div class="c x1e yb6 wc h20"><div class="t ma x1f h21 yb0 ff4 fsc fc0 sc0 ls0 ws0">j</div></div><div class="c xf yb4 w5 h1a"><div class="t m0 x20 h7 yad ff3 fs4 fc0 sc0 ls0 ws0">的酒样的评分值<span class="ff1"> </span></div></div><div class="c x13 yb7 wd h25"><div class="t mc x19 h26 yb8 ff4 fsf fc0 sc0 ls0 ws0">i</div><div class="t mc x7 h27 yb9 ff4 fs10 fc0 sc0 ls0 ws0">x</div></div><div class="c x2 yba w4 h1a"><div class="t m0 xe h6 ybb ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 ybc ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf yba w5 h1a"><div class="t m0 x0 h6 ya6 ff3 fs4 fc0 sc0 ls0 ws0">表示第</div></div><div class="c x1b ybd wb h15"><div class="t m9 x1c h1f yaf ff4 fsb fc0 sc0 ls0 ws0">i</div></div><div class="c xf yba w5 h1a"><div class="t m0 x1d h7 ya6 ff3 fs4 fc0 sc0 ls0 ws0">位评酒员对全部酒样评分的平均值<span class="ff1"> </span></div></div><div class="c x18 ybe wa h28"><div class="t md x21 h29 ybf ff4 fs11 fc0 sc0 ls0 ws0">i</div><div class="t me x1a h2a yc0 ff9 fs12 fc0 sc0 ls0 ws0"></div></div><div class="c x2 yc1 w4 h1e"><div class="t m0 xe h6 yc2 ff3 fs4 fc0 sc0 ls0 ws0">——<span class="ff8"> </span></div></div><div class="c xf yc1 w5 h1e"><div class="t m0 x0 h6 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示第</div></div><div class="c x1b yc3 wb h15"><div class="t m9 x1c h1f yaf ff4 fsb fc0 sc0 ls0 ws0">i</div></div><div class="c xf yc1 w5 h1e"><div class="t m0 x1d h6 ya5 ff3 fs4 fc0 sc0 ls0 ws0">位评酒员对全部酒样评分的标准差值<span class="ff8"> </span></div></div><div class="c x10 yc4 w6 h2b"><div class="t mf x21 h2c yc5 ff4 fs13 fc0 sc0 lsa ws0">ri</div><div class="t mf x7 h2d yc6 ff4 fs14 fc0 sc0 ls0 ws0">A</div></div><div class="c x2 yc7 w4 h1a"><div class="t m0 xe h6 yc2 ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 yc8 ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf yc7 w5 h1a"><div class="t m0 x0 h6 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示编号为</div></div><div class="c x22 yc9 wb h15"><div class="t m9 x1c h1f yaf ff4 fsb fc0 sc0 ls0 ws0">i</div></div><div class="c xf yc7 w5 h1a"><div class="t m0 x23 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">的红种葡萄的理化指标<span class="ff1"> </span></div></div><div class="c x24 yca we h22"><div class="t m10 x25 h2e ycb ff1 fsd fc0 sc0 ls0 ws0">ap<span class="_ _a"></span>pe<span class="_ _a"></span>ar<span class="_ _a"></span>an<span class="_ _a"></span>ce</div><div class="t m10 x25 h23 ycc ff4 fsd fc0 sc0 ls0 ws0">r</div><div class="t m10 x1c h24 ycd ff4 fse fc0 sc0 ls0 ws0">Sc<span class="_ _6"></span>ore</div></div><div class="c x2 y7b w4 h2f"><div class="t m0 xe h6 yce ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 ycf ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf y7b w5 h17"><div class="t m0 x0 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示红种葡萄外观品质类别的聚类类别优势值<span class="ff1"> </span></div></div><div class="c x26 yd0 wf h22"><div class="t m11 x25 h2e ycb ff1 fsd fc0 sc0 ls0 ws0">fl<span class="_ _a"></span>av<span class="_ _a"></span>or</div><div class="t m11 x25 h23 ycc ff4 fsd fc0 sc0 ls0 ws0">r</div><div class="t m11 x1c h24 ycd ff4 fse fc0 sc0 ls0 ws0">Sc<span class="_ _a"></span>o<span class="_ _a"></span>re</div></div><div class="c x2 yd1 w4 h30"><div class="t m0 xe h6 yd2 ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 yd3 ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf yd1 w5 h30"><div class="t m0 x0 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示红种葡萄风味品质类别的聚类类别优势值<span class="ff1"> </span></div></div><div class="c x27 yd4 w10 h22"><div class="t m12 x25 h2e ycb ff1 fsd fc0 sc0 ls0 ws0">pr<span class="_ _a"></span>oce<span class="_ _a"></span>ss</div><div class="t m12 x25 h23 ycc ff4 fsd fc0 sc0 ls0 ws0">r</div><div class="t m12 x1c h24 ycd ff4 fse fc0 sc0 ls0 ws0">Sc<span class="_ _a"></span>o<span class="_ _a"></span>re</div></div><div class="c x2 yd5 w4 h31"><div class="t m0 xe h6 yce ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 ycf ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf yd5 w5 h31"><div class="t m0 x0 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示红种葡萄加工品质类别的聚类类别优势值<span class="ff1"> </span></div></div><div class="c x26 yd6 w11 h22"><div class="t m13 x25 h2e ycb ff1 fsd fc0 sc0 ls0 ws0">he<span class="_ _a"></span>al<span class="_ _a"></span>th</div><div class="t m13 x28 h23 ycc ff4 fsd fc0 sc0 ls0 ws0">r</div><div class="t m13 x1c h24 ycd ff4 fse fc0 sc0 ls0 ws0">Sc<span class="_ _a"></span>o<span class="_ _a"></span>re</div></div><div class="c x2 yd7 w4 h31"><div class="t m0 xe h6 yce ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 yd8 ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf yd7 w5 h31"><div class="t m0 x0 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示红种葡萄保健品质类别的聚类类别优势值<span class="ff1"> </span></div></div><div class="c x14 yd9 w9 h28"><div class="t m14 x25 h29 ybf ff4 fs11 fc0 sc0 ls0 ws0">r</div><div class="t m14 x7 h32 yc0 ff4 fs15 fc0 sc0 ls0 ws0">Sc<span class="_ _a"></span>or<span class="_ _a"></span>e</div></div><div class="c x2 yda w4 h30"><div class="t m0 xe h6 yc2 ff3 fs4 fc0 sc0 ls0 ws0">——<span class="ff8"> </span></div></div><div class="c xf yda w5 h30"><div class="t m0 x0 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示红种葡萄的综合等级优势值<span class="ff1"> </span></div></div><div class="c x17 ydb wc h15"><div class="t m15 x1a h33 ydc ff9 fs16 fc0 sc0 ls0 ws0"></div></div><div class="c x2 ydd w4 h31"><div class="t m0 xe h6 yce ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 yb5 ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf ydd w5 h31"><div class="t m0 x0 h7 ya5 ff3 fs4 fc0 sc0 ls0 ws0">表示<span class="_ _b"> </span><span class="ff1">Pearson<span class="_"> </span></span>相关系数<span class="ff1"> </span></div></div><div class="c x29 yde w12 h22"><div class="t m16 x2a h2e ydf ff1 fsd fc0 sc0 ls0 ws0">-<span class="_ _c"></span><span class="ff4 lsb">ij</span></div><div class="t m17 x1a h34 ye0 ff9 fs17 fc0 sc0 ls0 ws0"></div></div><div class="c x2 ye1 w4 h35"><div class="t m0 xe h6 ye2 ff3 fs4 fc0 sc0 ls0 ws0">——</div><div class="t m0 x11 h6 ye3 ff8 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="c xf ye1 w5 h35"><div class="t m0 x0 h6 ye4 ff3 fs4 fc0 sc0 ls0 ws0">表<span class="_ _0"></span>示<span class="_ _0"></span>葡<span class="_ _0"></span>萄<span class="_ _0"></span>酒<span class="_ _0"></span>中<span class="_ _0"></span>编<span class="_ _0"></span>号<span class="_ _0"></span>为</div></div><div class="c x2b ye5 w13 h15"><div class="t m18 x1c h1f yaf ff4 fsb fc0 sc0 ls0 ws0">i</div></div><div class="c xf ye1 w5 h35"><div class="t m0 x24 h6 ye4 ff3 fs4 fc0 sc0 ls0 ws0">的<span class="_ _0"></span>理<span class="_ _0"></span>化<span class="_ _0"></span>指<span class="_ _0"></span>标<span class="_ _0"></span>与<span class="_ _0"></span>酿<span class="_ _0"></span>酒<span class="_ _0"></span>葡<span class="_ _d"></span>萄<span class="_ _0"></span>中<span class="_ _0"></span>编<span class="_ _0"></span>号<span class="_ _0"></span>为</div></div><div class="c x2c ye5 wc h20"><div class="t ma x1f h21 yb0 ff4 fsc fc0 sc0 ls0 ws0">j</div></div><div class="c xf ye1 w5 h35"><div class="t m0 x2d h6 ye4 ff3 fs4 fc0 sc0 ls0 ws0">的</div><div class="t m0 x0 h7 ye6 ff3 fs4 fc0 sc0 ls0 ws0">理化指标的关联度<span class="ff1"> </span></div></div><div class="t m0 x9 h5 ye7 ff1 fs3 fc0 sc0 ls3 ws0">4.<span class="ff6 ls0"> <span class="_ _2"> </span><span class="ff2">模型的<span class="ls4">准备</span><span class="ff1"> </span></span></span></div><div class="t m0 x2 h7 ye8 ff1 fs4 fc0 sc0 ls0 ws0">4.1<span class="ff6"> <span class="_ _4"> </span><span class="ff2">原始数据的预处理</span></span> </div><div class="t m0 x5 h6 ye9 ff3 fs4 fc0 sc0 ls0 ws0">针对题目附件原<span class="_ _0"></span>始数据中出现<span class="_ _0"></span>的奇异数据,如<span class="_ _0"></span>数据缺失,数量<span class="_ _0"></span>级与同类指标相</div><div class="t m0 x2 h6 yea ff3 fs4 fc0 sc0 ls0 ws0">比明显不符,数据<span class="_ _0"></span>格式错误等,采<span class="_ _0"></span>取取平均值、根据<span class="_ _0"></span>同类指标校正等<span class="_ _0"></span>方法,消除这</div><div class="t m0 x2 h7 yeb ff3 fs4 fc0 sc0 ls0 ws0">些奇异数据给统计结果造成误差的可能性。<span class="ff1"> </span></div><div class="t m0 x5 h7 yec ff3 fs4 fc0 sc0 ls0 ws0">针对<span class="_ _e"> </span><span class="ff1">K-Means<span class="_ _e"> </span></span>聚类中需要用到的指标数据中同时含有极大型指标、<span class="_ _7"></span>极小型指标、</div><div class="t m0 x2 h6 yed ff3 fs4 fc0 sc0 ls0 ws0">居中型指标和区间<span class="_ _0"></span>型指标,在进行<span class="_ _0"></span>聚类分析前,我们<span class="_ _0"></span>需要先将不同类<span class="_ _0"></span>型的指标做一</div><div class="t m0 x2 h6 yee ff3 fs4 fc0 sc0 ls0 ws0">致化处理,将其转<span class="_ _0"></span>化为同一类型的<span class="_ _0"></span>指标。在本文中,<span class="_ _0"></span>我们对数据全部<span class="_ _0"></span>化为极大型指</div><div class="t m0 x2 h7 yef ff3 fs4 fc0 sc0 ls0 ws0">标,具体转化方法如下<span class="ff1"> </span></div><div class="t m0 x5 h7 yf0 ff3 fs4 fc0 sc0 ls0 ws0">(<span class="ff1">1</span>)<span class="ff8"> </span>极小型化为极大型<span class="ff1"> </span></div><div class="t m0 x5 h6 yf1 ff3 fs4 fc0 sc0 ls0 ws0">对于极小型指标</div><div class="c x2e yf2 w14 h22"><div class="t m19 x21 h23 yb2 ff4 fsd fc0 sc0 ls0 ws0">j</div><div class="t m19 x7 h24 yb3 ff4 fse fc0 sc0 ls0 ws0">x</div></div><div class="t m0 x2f h6 yf1 ff3 fs4 fc0 sc0 lsc ws0">,即</div><div class="c x30 yf2 w15 h22"><div class="t m1a x21 h23 yb2 ff4 fsd fc0 sc0 lsd ws0">j</div><div class="t m1a x7 h24 yb3 ff4 fse fc0 sc0 lsd ws0">x</div></div><div class="t m0 x31 h6 yf1 ff3 fs4 fc0 sc0 ls0 ws0">的取值越小越好。<span class="_ _6"></span>要将其化为极大型指标,只需做平</div><div class="t m0 x2 h6 y29 ff3 fs4 fc0 sc0 ls0 ws0">移变换</div><div class="c x32 yf3 we h1b"><div class="t m1b x21 h1c ya9 ff4 fs9 fc0 sc0 ls0 ws0">j<span class="_ _f"> </span>j<span class="_ _10"> </span>j</div><div class="t m1b x7 h36 yaa ff4 fs18 fc0 sc0 ls0 ws0">x<span class="_ _11"> </span>M<span class="_ _11"> </span>x</div><div class="t m1b x19 h37 yf4 ff9 fs18 fc0 sc0 ls0 ws0"></div><div class="t m1b x33 h37 yaa ff9 fs18 fc0 sc0 lse ws0"></div></div><div class="t m0 x34 h6 y29 ff3 fs4 fc0 sc0 ls0 ws0">,其中</div><div class="c x35 yf5 w16 h38"><div class="t m1c x36 h39 yf6 ff9 fs19 fc0 sc0 ls0 ws0"><span class="_ _11"> </span></div><div class="t m1d x37 h3a yf7 ff1 fs1a fc0 sc0 ls0 ws0">1</div><div class="t m1d x38 h3b yf8 ff1 fs1b fc0 sc0 ls0 ws0">m<span class="_ _a"></span>a<span class="_ _a"></span>x</div><div class="t m1d x33 h3c yf9 ff4 fs1a fc0 sc0 ls0 ws0">j<span class="_ _12"> </span>ij</div><div class="t m1d x39 h3c yf7 ff4 fs1a fc0 sc0 lsf ws0">in</div><div class="t m1d x1c h3d yf8 ff4 fs1b fc0 sc0 ls10 ws0">Mx</div><div class="t m1d x3a h3e yf7 ff9 fs1a fc0 sc0 ls11 ws0"></div><div class="t m1d x3b h3f yf8 ff9 fs1b fc0 sc0 ls0 ws0"></div></div><div class="t m0 x3c h6 y29 ff3 fs4 fc0 sc0 ls0 ws0">。则可将极小型指标</div><div class="c x3d yf3 w15 h1b"><div class="t m1e x21 h1c ya9 ff4 fs9 fc0 sc0 ls0 ws0">j</div><div class="t m1e x7 h36 yaa ff4 fs18 fc0 sc0 ls0 ws0">x</div></div><div class="t m0 x3e h7 y29 ff3 fs4 fc0 sc0 ls0 ws0">化为极大型。<span class="ff1"> </span></div><div class="t m0 x5 h7 yfa ff3 fs4 fc0 sc0 ls0 ws0">(<span class="ff1">2</span>)<span class="ff8"> </span>居中型化为极大型<span class="ff1"> </span></div></div><div class="pi" data-data='{"ctm":[1.611562,0.000000,0.000000,1.611562,0.000000,0.000000]}'></div></div> 相关资源