CODAS method using Z-fuzzy numbers

被引：29

作者：

Tuysuz, Nurdan ^{[1
,2
]}

Kahraman, Cengiz ^{[2
]}

机构：

[1] Istanbul Gelisim Univ, Fac Engn & Architecture, Ind Engn Dept, Istanbul, Turkey

[2] Istanbul Tech Univ, Ind Engn Dept, Istanbul, Turkey

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2020年 / 38卷 / 02期

关键词：

CODAS; Z-fuzzy; restriction function; reliability; pairwise comparison; supplier selection; SAW; MULTICRITERIA DECISION-MAKING; RENEWABLE ENERGY; SELECTION;

D O I：

10.3233/JIFS-182733

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

CODAS is a new multicriteria decision making method based on the maximum distances to negative ideal solutions, which are obtained from Euclidean and Taxicab distances. This paper develops a Z-fuzzy CODAS method based on restriction and reliability functions under uncertainty. We obtain the criteria weights from the Z-fuzzy pairwise comparison matrix. An illustrative application to supplier selection problem is also given. A comparative analysis is presented with ordinary fuzzy simple additive weighting (SAW) method.

引用

页码：1649 / 1662

页数：14

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