| Autor: |
Saeedi Aval Noughabia, Fatima, Malekmohammadi, Najmeh, Hosseinzadeh Lotfi, Farhad, Razavyan, Shabnam |
| Zdroj: |
International Journal of Intelligent Computing & Cybernetics; 2023, Vol. 16 Issue 4, p665-696, 32p |
| Abstrakt: |
Purpose: The purpose of this paper is to improve the recent models for the evaluation of the efficiency of decision making units (DMUs) comprising a network structure with undesirable intermediate measures and fuzzy data. Design/methodology/approach: In this paper a three-stage network structure model with desirable and undesirable data is presented and is solved as linear triangular fuzzy planning problems. Findings: A new three stage network data envelopment analysis (DEA) model is established to evaluate the efficiency of industries with undesirable and desirable indicators in fuzzy environment. Practical implications: The implication of this study is to evaluate the furniture services and the chipboard industries of wood lumber as a three-stage process. Originality/value: In some cases, DMUs include two or multi-stage process (series or parallel) operating with a structure called a network DEA. Also, in the real world problems, the data are often presented imprecisely. Additionally, the intermediate measures under the real-world conditions include desirable and undesirable data. These mentioned indexes show the value of the proposed model. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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