A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

被引：59

作者：

Tuysuz, Fatih ^{[1
]}

Simsek, Berna ^{[2
]}

机构：

[1] Istanbul Univ, Dept Ind Engn, TR-34320 Istanbul, Turkey

[2] Istanbul Univ, Grad Sch Inst Sci, TR-34320 Istanbul, Turkey

来源：

COMPLEX & INTELLIGENT SYSTEMS | 2017年 / 3卷 / 03期

关键词：

Performance evaluation; Cargo sector; Hesitant AHP; GROUP DECISION-MAKING; REVERSE LOGISTICS; MODEL; CONSISTENCY; INDICATORS;

D O I：

10.1007/s40747-017-0044-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision-making approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets-based analytic hierarchy process method, which is an effective and successful approach to deal with uncertainty, is proposed for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.

引用

页码：167 / 175

页数：9

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