WASPAS based MULTIMOORA method under IVIF environment for the selection of hub location
Journal of Enterprise Information Management
ISSN: 1741-0398
Article publication date: 23 June 2020
Issue publication date: 3 December 2020
Abstract
Purpose
Low cost carriers (LCCs) have become one of the most significantly growing parts of the airline servicing market. This new player has redesigned the whole airline industry, which was previously led by the national/international full-service airline companies. Considering such advancements, the hub locations of LCCs became an important issue than ever before. Within this concept, a guiding framework is developed for an LCC company, which is in search of a new hub airport location within Turkey to satisfy the demand and attract new passengers.
Design/methodology/approach
An interval-valued intuitionistic fuzzy (IVIF) sets based weighted aggregated sum product assessment (WASPAS) and multi-objective optimization by ratio analysis (MULTIMOORA) methods are developed for decision-making processes.
Findings
Five airport locations are evaluated using the developed method. Results showed that in determining hub locations for LCCs, potential number of passengers of the city, airport quality and the number of hotels within the city are obtained as the three most important criteria among 12 evaluation criteria. The best location for the LCC company is determined as Antalya Airport.
Research limitations/implications
To apply the proposed method to a different set of alternatives, data gathered on comparing location of alternatives from experts should be updated.
Originality/value
Proposed hybrid framework is presented as the first time in the literature as a decision-making tool. In order to validate framework's applicability, efficiency and effectiveness, a comparison and a sensitivity analysis are conducted at the end of the study.
Keywords
Citation
Aydin, N. and Seker, S. (2020), "WASPAS based MULTIMOORA method under IVIF environment for the selection of hub location", Journal of Enterprise Information Management, Vol. 33 No. 5, pp. 1233-1256. https://doi.org/10.1108/JEIM-09-2019-0277
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited