A NOVEL APPROACH TO RANKING FUZZY NUMBERS BASED ON FUZZY ACCEPTABILITY ANALYSIS

被引：0

作者：

Yatsalo, Boris ^{[1
]}

Martinez, Luis ^{[2
]}

机构：

[1] Natl Res Nucl Univ MEPHI IATE NRNU MEPHI, Dept Informat Syst, Obninsk, Russia

[2] Univ Jaen, Dept Comp Sci, Jaen 23071, Spain

来源：

UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2016年 / 10卷

关键词：

Ranking Fuzzy Numbers; Fuzzy Preference Relation; Fuzzy Acceptability Analysis; Fuzzy MCDA; GROUP DECISION-MAKING; REASONABLE PROPERTIES; SETS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel approach to ranking fuzzy numbers based on Fuzzy Acceptability Analysis (FAA) is considered. The use of FAA represents a consistent approach to fuzzy decision analysis in accordance with the concept that "decision taken in a fuzzy environment should be inherently fuzzy". The two preference relations for ranking fuzzy numbers with the use of FAA are presented. Implementation of FAA within fuzzy Multicriteria Decision Analysis is considered based on ranking fuzzy numbers/alternatives with indicating a fuzzy measure (degree of confidence) for each rank.

引用

页码：75 / 80

页数：6

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