A new method for consistency test in fuzzy AHP

被引：23

作者：

Mahmoudzadeh, Morteza ^{[1
]}

Bafandeh, Ali R. ^{[2
]}

机构：

[1] Islamic Azad Univ, East Azarbaijan Sci & Res Branch, Dept Management, Tabriz, Iran

[2] Islamic Azad Univ, Tabriz Branch, Dept Management, Tabriz, Iran

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2013年 / 25卷 / 02期

关键词：

Fuzzy AHP; consistency test; QR algorithm; genetic algorithm; HIERARCHICAL ANALYSIS; QR TRANSFORMATION;

D O I：

10.3233/IFS-120653

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents that the consistency test with consideration of a tolerance deviation in fuzzy AHP proposed by L. C. Leung and D. Cao (2000) is not efficient and has some errors, hence a new method of fuzzy consistency test by direct fuzzification of (Quick Response) QR algorithm - which is one of numerical methods for calculating eigenvalues of an arbitrary matrix - has been proposed.

引用

页码：457 / 461

页数：5

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