Efficiency Decomposition in Two-Stage Network in Data Envelopment Analysis with Undesirable Intermediate Measures and Fuzzy Input and Output

被引：2
|
作者：
Noughabi, Fatima Saeedi Aval [1 ]
Malekmohammadi, Najmeh [1 ]
Lotfi, Farhad Hosseinzadeh [2 ]
Razavyan, Shabnam [1 ]
机构：
[1] Islamic Azad Univ, Dept Math, South Tehran Branch, Tehran, Iran
[2] Islamic Azad Univ, Dept Math, Sci & Res Branch, Tehran, Iran
来源：
FUZZY INFORMATION AND ENGINEERING | 2022年 / 14卷 / 02期
关键词：
Undesirable intermediate measures; data envelopment analysis; triangular fuzzy numbers; DEA APPROACH; SYSTEMS; MODELS;
D O I：
10.1080/16168658.2022.2121153
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper presents a model for the efficiency evaluation of decision-making units comprising a network structure with undesirable intermediate measures. This model is then generalised to evaluate the efficiency of network decision-making units with triangular fuzzy data and undesirable intermediate measures. In this study, data envelopment analysis (DEA) models with fuzzy network structures and undesirable intermediate measures are considered and solved as linear triangular fuzzy planning problems. With numerical results, the application of the proposed model in the chipboard industry of wood lumber has been shown.
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页码：123 / 142
页数：20
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