Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets

Basar Oztaysi; Sezi Cevik Onar; Cengiz Kahraman; Mesut Yavuz

doi:10.1016/j.trd.2017.04.003

Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets

Basar Oztaysi, Sezi Cevik Onar, Cengiz Kahraman, Mesut Yavuz^*

^*Corresponding author for this work

Department of Industrial Engineering

University of Alabama

Research output: Contribution to journal › Article › peer-review

84 Citations (Scopus)

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.

Original language	English
Pages (from-to)	128-148
Number of pages	21
Journal	Transportation Research Part D: Transport and Environment
Volume	53
DOIs	https://doi.org/10.1016/j.trd.2017.04.003
Publication status	Published - 1 Jun 2017

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Ltd

Keywords

Alternative-fuel vehicles
Hierarchy
Intuitionistic fuzzy sets (IFS)
Linguistic terms
Multi-criteria decision making

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10.1016/j.trd.2017.04.003

Cite this

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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.",

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AU - Kahraman, Cengiz

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PY - 2017/6/1

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KW - Hierarchy

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KW - Linguistic terms

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Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets

Abstract

Bibliographical note

Keywords

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