Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets. (June 2017)

• Record Type: Journal Article
• Authors: Oztaysi, Basar; Cevik Onar, Sezi; Kahraman, Cengiz; Yavuz, Mesut
• Is Part Of: Transportation research. Volume 53(2017)
• Page Start: 128
• Page End: 148
• Publication Date: 2017-06
• Subjects: Alternative-fuel vehicles -- Multi-criteria decision making -- Hierarchy -- Intuitionistic fuzzy sets (IFS) -- Linguistic terms; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2017.04.003
• Languages: English
• ISSNs: 1361-9209

Abstract

Highlights: A multi-expert & multi-criteria method using interval-valued IFS (IVIFS) is proposed. IVIFS are first time used for the alternative-fuel vehicle selection problem. The proposed method is applied to a utility company facing this problem in the USA. Detailed sensitivity and scenario analyses are given in the application section. The analyses are enhanced by three dimensional and radar graphs. Abstract: Fleet operators periodically update and upgrade their vehicles in order to take opportunity of new technologies. Alternative-fuel vehicles provide opportunities to lower fuel costs as well as to reduce environmental footprint. Decision on alternative-fuel vehicle adoption is a challenging problem for fleet operators in today's technological and market development level. This paper focuses on the alternative-fuel technology selection problem of a utility company in the USA. The paper develops a multi-expert, multi-criteria decision making (MCDM) method based on interval-valued intuitionistic fuzzy sets (IVIFS) with linguistic data, and finds that the best fit for the utility company is an extended-range natural gas vehicle.