Abstract

This paper describes an application of hybrid multi criteria decision making (MCDM) technique for the selection of the best car. This study focuses on five alternatives and evaluation criteria such as safety, performance, economic aspect, exterior, convenience, dealer, warranty and emissions to select the best car. Two models are proposed to evaluate the best car. The first model, fuzzy analytical hierarchy process (FAHP) is integrated with Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) technique. The second model, FAHP is integrated with hierarchy grey relation analysis (GRA) technique. Here, the FAHP is used to analyse the structure of car selection problem and to determine the weights of the criteria. The hierarchical GRA and PROMETHEE techniques are used to obtain the final ranking of the cars.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.