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New Fuzzy Logic Research from Concordia University Outlined

机译:康科迪亚大学的新模糊逻辑研究概述

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2011 OCT 24 - (VerticalNews.com) -- According to the authors of recent researchrnpublished in the journal Expert Systems with Applications, "This paper investigates the dynamicrnintuitionistic fuzzy multi-attribute group decision making (DIF-MAGDM) problems, in whichrnall the attribute values provided by multiple decision makers (DMs) at different periods take thernform of intuitionistic fuzzy numbers (IFNs), and develops an interactive method to solve thernDIF-MAGDM problems. The developed method first aggregates the individual intuitionisticrnfuzzy decision matrices at different periods into an individual collective intuitionistic fuzzyrndecision matrix for each decision maker by using the dynamic intuitionistic fuzzy weightedrnaveraging (DIFWA) operator, and then employs intuitionistic fuzzy TOPSIS method to calculaternthe individual relative closeness coefficient of each alternative for each decision maker andrnobtain the individual ranking of alternatives."
机译:2011年10月24日-(VerticalNews.com)-根据发表在《专家系统与应用》杂志上的最新研究的作者,“本文研究了动态直觉模糊多属性群体决策(DIF-MAGDM)问题,其中所有属性多个决策者(DM)在不同时期提供的值采用直觉模糊数(IFN)的形式,并开发了一种交互式方法来解决DIF-MAGDM问题,该方法首先将不同时期的各个直觉模糊决策矩阵汇总为一个个体通过使用动态直觉模糊加权平均(DIFWA)运算符,为每个决策者提供集体直觉模糊决策矩阵,然后采用直觉模糊TOPSIS方法计算每个决策者每个备选方案的相对亲和系数,并获得备选方案的单独排名。”

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