Fuzzy aggregation and averaging for group decision making: A generalization and survey

被引：64

作者：

Vanicek, J. ^{[1
]}

Vrana, I. ^{[1
]}

Aly, S. ^{[1
]}

机构：

[1] Czech Univ Life Sci Prague, Dept Informat Engn, Prague 16521, Czech Republic

来源：

KNOWLEDGE-BASED SYSTEMS | 2009年 / 22卷 / 01期

关键词：

Fuzzy sets; Aggregation operators; Multi-expert decision making; Information fusion operators; Ordered weighted average (OWA); OPERATORS; OPERATIONS;

D O I：

10.1016/j.knosys.2008.07.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents some systematic sorting and ordering of approaches dealing with fuzzy aggregation and fuzzy averaging from different authors. The aggregation of fuzzy information from a group of experts for developing collective opinion or verdict is the important question in the expert systems theory and practice. This is to obtain a more comprehensive and realistic solution to the given decision problem. This note tries to outline an overall formal umbrella to various methods to aggregate several fuzzy sets, which describe the individual points of view of experts, or results of judgements from the various characteristics. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：79 / 84

页数：6

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