Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection

被引：40

作者：

Deveci, Muhammet ^{[1
]}

Oner, Sultan Ceren ^{[2
]}

Ciftci, Muharrem Enis ^{[3
]}

Ozcan, Ender ^{[4
]}

Pamucar, Dragan ^{[5
]}

机构：

[1] Natl Def Univ, Turkish Naval Acad, Dept Ind Engn, TR-34940 Istanbul, Turkey

[2] Huawei Turkey R&D Ctr, AI Enablement Dept, TR-34768 Istanbul, Turkey

[3] Istanbul Atlas Univ, Dept Ind Engn, TR-34408 Istanbul, Turkey

[4] Univ Nottingham, Sch Comp Sci, Computat Optimisat & Learning COL Lab, Nottingham NG8 1BB, England

[5] Univ Def Belgrade, Mil Acad, Dept Logist, Belgrade 11000, Serbia

来源：

APPLIED SOFT COMPUTING | 2022年 / 114卷

关键词：

Multi-criteria decision making; Airline; Hybrid fuzzy method; CRITERIA DECISION-MAKING; AIRLINES EFFICIENCY; 2-STAGE TOPSIS; ELECTRE II; SETS; MODEL; EXTENSION; AHP; STRATEGIES; INDUSTRY;

D O I：

10.1016/j.asoc.2021.108076

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Choosing the most appropriate aircraft type for a given route is one of the crucial issues that the decision makers at airline companies have to address under uncertainty based on various commercial, marketing and operational criteria. A novel multi-criteria decision making approach integrating Entropy-based Weighted Aggregated Sum Product Assessment (WASPAS) method and interval type-2 hesitant fuzzy sets (IT2HFS) is introduced for tackling this problem and tested using a particular case study obtained from a full service carrier in Turkey. This study contributes to representing and handling degrees of uncertainty in the decision making process of aircraft type selection based on the IT2HFS. The results showed that Airbus 32C is the suitable alternative for a given route in between Kuwait and Istanbul airports. The experts evaluated the results and confirmed that the proposed approach is the most suitable one when compared to four other IT2HFS based approaches. (C) 2021 Elsevier B.V. All rights reserved.

引用

页数：14

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