A knowledge-based approach for criteria weighting in multi-criteria analysis

被引：0

作者：

Deng, HP ^{[1
]}

Yeh, CH ^{[1
]}

Willis, RJ ^{[1
]}

Pan, HQ ^{[1
]}

机构：

[1] Monash Univ, Gippsland Sch Comp & Informat Technol, Churchill, Vic 3842, Australia

来源：

COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL | 1999年 / 55卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a novel approach for criteria weighting in multicriteria analysis (MA) for ranking alternatives with respect to multiple criteria for accomplishing a specific task. Linguistic terms are used to formulate the imprecise and often subjective weighting process. A fuzzy knowledge base is constructed to acquire the knowledge of expert decision-makers. As a result, consistent criteria weights can always be obtained, leading to effective and reliable decisions being made in solving practical MA problems.

引用

页码：435 / 440

页数：6

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