Title: A hybrid MCDM approach for evaluating an automobile purchase model

Authors: G. Sakthivel; M. Ilangkumaran; G. Nagarajan; A. Raja; P.M. Ragunadhan; J. Prakash

Addresses: Department of Mechatronics Engineering, K.S. Rangasamy College of Technology, Tiruchengode-637 215, Namakkal, Tamil Nadu, India ' Department of Mechatronics Engineering, K.S. Rangasamy College of Technology, Tiruchengode-637 215, Namakkal, Tamil Nadu, India ' I.C. Engineering Division, Department of Mechanical Engineering, Anna University, Chennai 600025, India ' Department of Mechatronics Engineering, K.S. Rangasamy College of Technology, Tiruchengode-637 215, Namakkal, Tamil Nadu, India ' Department of Mechatronics Engineering, K.S. Rangasamy College of Technology, Tiruchengode-637 215, Namakkal, Tamil Nadu, India ' Department of Mechatronics Engineering, K.S. Rangasamy College of Technology, Tiruchengode-637 215, Namakkal, Tamil Nadu, India

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.

Keywords: car buying; automotive purchase models; multicriteria decision making; hybrid MCDM; hierarchical GRA; grey relation analysis; fuzzy AHP; analytical hierarchy process; FAHP; PROMETHEE; fuzzy sets; fuzzy logic; automobile industry; selection ranking; vehicle purchasing.

DOI: 10.1504/IJIDS.2013.052017

International Journal of Information and Decision Sciences, 2013 Vol.5 No.1, pp.50 - 85

Published online: 28 Feb 2014 *

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