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A hybrid MCDM approach for evaluating an automobile purchase model

A hybrid MCDM approach for evaluating an automobile purchase model 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2013.052017
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2013

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