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 | |
| 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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