Özet
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.
| Orijinal dil | İngilizce |
|---|---|
| Sayfa (başlangıç-bitiş) | 128-148 |
| Sayfa sayısı | 21 |
| Dergi | Transportation Research Part D: Transport and Environment |
| Hacim | 53 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 1 Haz 2017 |
Bibliyografik not
Publisher Copyright:© 2017 Elsevier Ltd
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