Supplier selection problem under Z-information

被引：4

作者：

Agakishiyev, E. ^{[1
]}

机构：

[1] Azerbaijan State Oil & Ind Univ, Azadlyg Ave 20, AZ-1010 Baku, Azerbaijan

来源：

12TH INTERNATIONAL CONFERENCE ON APPLICATION OF FUZZY SYSTEMS AND SOFT COMPUTING, ICAFS 2016 | 2016年 / 102卷

关键词：

supplier selection; multicriteria decision making; ideal solution; partial reliability; Z-number; MULTICRITERIA DECISION-MAKING; FUZZY; DISTANCE; CRITERIA;

D O I：

10.1016/j.procs.2016.09.421

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Supplier selection problem is a very important element of Supply Chain Management systems. The existing works are devoted to solving this problem under deterministic, stochastic, interval-based and fuzzy information. Unfortunately, up today no systematic research on supplier selection under partial reliability of information is proposed. In this paper we suggest new method for solving supplier selection problem under fuzzy and partially reliable information formalized by using Z-numbers. The method is based on determination of Z-number valued ideal and negative ideal solutions. A numerical example is provided to illustrate validity of the proposed approach to supplier selection problem. (C) 2016 The Authors. Published by Elsevier B.V.

引用

页码：418 / 425

页数：8

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