GDSS中的模糊共识模型

M. Fedrizzi
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引用次数: 4

摘要

我们在这里开展工作的基本框架如下:有一组专家必须根据若干标准从有限的可接受的备选方案中选择一个首选的备选方案。请每位专家根据每项标准对备选方案的表现进行语言评价。专家的任务是在主持人的指导下达成共识的过程中达成一些协议。在我们的方法中,共识的度量依赖于每个专家根据他/她所谓的意见改变厌恶(OCA)估计的函数,聚合过程基于有序加权平均(OWA)算子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy consensus models in GDSS
The basic framework within which we operate here is the following one: there is a group of experts which must choose a preferred alternative from a finite set of admissible ones according to several criteria. Each expert is called upon to evaluate linguistically the alternatives in terms of their performance with respect to each criterion. The task of the experts is to reach some agreement during a consensus reaching process directed by a moderator. In our approach the measure of consensus depends on a function estimated for each expert according to his/her so called opinion changing aversion (OCA) and the aggregation process is based on ordered weighted average (OWA) operators.
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