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煙草科技
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TOBACCO SCIENCE & TECHNOLOGY
2015年
5期
85-89
,共5页
陶永峰%张胜华%李文璟%王琼%沈军%米芳芳%贾洋
陶永峰%張勝華%李文璟%王瓊%瀋軍%米芳芳%賈洋
도영봉%장성화%리문경%왕경%침군%미방방%가양
卷烟成品%实验室%检测能力%Z比分数%模糊AHP评价模型%综合评价
捲煙成品%實驗室%檢測能力%Z比分數%模糊AHP評價模型%綜閤評價
권연성품%실험실%검측능력%Z비분수%모호AHP평개모형%종합평개
Cigarette%Laboratory%Testing capability%Z score%Fuzzy AHP model%Comprehensive evaluation
为解决Z比分数法只能对卷烟成品实验室单个指标进行分析评价问题,将Z比分数、层次分析法(Analytic Hierarchy Process)与模糊综合评价法相结合,建立了Z比分数-模糊AHP评价模型。评价分为8个步骤:构建卷烟成品实验室评价指标体系,利用AHP确定各指标权重,将实验室每个样品的指标检测值转化为Z比分数(Z,ZB,ZW),利用模糊评价方法建立评语集和对应的分数集,把每个指标各样品Z比分数在评语集各等级所占比例作为隶属度,形成模糊判断矩阵,最终得到实验室物测、烟气以及综合检测能力评价得分及排序。以10个实验室为例验证了该模型的综合评价能力。结果表明,该综合评估方法适用于多样品和多指标的实验室比对综合能力评价,可以整体评价实验室物测、烟气和综合检测能力,并可分析查找存在问题的指标,为卷烟成品实验室的优化改进及提升检测能力水平提供了支持。
為解決Z比分數法隻能對捲煙成品實驗室單箇指標進行分析評價問題,將Z比分數、層次分析法(Analytic Hierarchy Process)與模糊綜閤評價法相結閤,建立瞭Z比分數-模糊AHP評價模型。評價分為8箇步驟:構建捲煙成品實驗室評價指標體繫,利用AHP確定各指標權重,將實驗室每箇樣品的指標檢測值轉化為Z比分數(Z,ZB,ZW),利用模糊評價方法建立評語集和對應的分數集,把每箇指標各樣品Z比分數在評語集各等級所佔比例作為隸屬度,形成模糊判斷矩陣,最終得到實驗室物測、煙氣以及綜閤檢測能力評價得分及排序。以10箇實驗室為例驗證瞭該模型的綜閤評價能力。結果錶明,該綜閤評估方法適用于多樣品和多指標的實驗室比對綜閤能力評價,可以整體評價實驗室物測、煙氣和綜閤檢測能力,併可分析查找存在問題的指標,為捲煙成品實驗室的優化改進及提升檢測能力水平提供瞭支持。
위해결Z비분수법지능대권연성품실험실단개지표진행분석평개문제,장Z비분수、층차분석법(Analytic Hierarchy Process)여모호종합평개법상결합,건립료Z비분수-모호AHP평개모형。평개분위8개보취:구건권연성품실험실평개지표체계,이용AHP학정각지표권중,장실험실매개양품적지표검측치전화위Z비분수(Z,ZB,ZW),이용모호평개방법건립평어집화대응적분수집,파매개지표각양품Z비분수재평어집각등급소점비례작위대속도,형성모호판단구진,최종득도실험실물측、연기이급종합검측능력평개득분급배서。이10개실험실위례험증료해모형적종합평개능력。결과표명,해종합평고방법괄용우다양품화다지표적실험실비대종합능력평개,가이정체평개실험실물측、연기화종합검측능력,병가분석사조존재문제적지표,위권연성품실험실적우화개진급제승검측능력수평제공료지지。
A Z score-fuzzy AHP model was established by combining Z score, AHP (Analytic Hierarchy Process) with fuzzy comprehensive evaluation method. The evaluation process involved eight steps: establishing a cigarette laboratory evaluation index system, determining the weight of each index with AHP, converting the test results of each index for each sample into Z score (Z, ZB, ZW), establishing a set of evaluation term and a score set with fuzzy evaluation, taking the proportion of Z score of each index for each sample in the evaluating term set as membership degree, forming fuzzy judgment matrix, and finally obtaining the score and rank of cigarette laboratories in terms of physical property testing, smoke analysis and overall testing capability. The established model was verified by taking ten cigarette laboratories as examples. The results showed that this method was suitable for evaluating the testing capability of a cigarette laboratory concerning multi-sample and multi-factor, it could evaluate the physical testing, smoke analysis and overall testing capabilities of a laboratory and find out the indexes which might be problematic, to provide a reference for optimizing and improving the testing capability of the laboratory.