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An Approach for Purchasing a Sedan Car from Indian Car Market Under Fuzzy Environment

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Proceedings of Sixth International Conference on Soft Computing for Problem Solving

Abstract

As we all know that, in this era everyone wants to buy a car that may be mid price ranged or may be a high price range car. People want that in their car should carry feature according to them. It has been seen in the past decades that the sale of automobile in India is increasing rapidly and a number of car manufactures have joined Indian car market. Hence there is a tuff competition between every car manufactures. In this case all car manufactures are trying to attract customers by providing good aesthetic and advance features in the cars. These aesthetic and features have a high impact on consumers mind. Selecting a car from Indian car market is a very large decision making problems or customers. In this work, the selection of a car from Indian car market has been treated as Multi Criteria Decision Making (MCDM) problem and a number of criterions have been selected for the study. A Fuzzy AHP (Analytic Hierarchy Process) based approach has been used for selecting a sedan car on the bases of various car criterion such as: Performance, Economy, Comfort etc. In the initial stage, some important criterion has been discussed and their weight has been calculated by FAHP. On the basis of criteria weights, the ranking of the cars has been done. The main objective behind this paper is to facilitate the consumers to have a clear idea about their preferences in purchasing a car.

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Correspondence to Shwetank Avikal .

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Chand, M. et al. (2017). An Approach for Purchasing a Sedan Car from Indian Car Market Under Fuzzy Environment. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 546. Springer, Singapore. https://doi.org/10.1007/978-981-10-3322-3_22

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  • DOI: https://doi.org/10.1007/978-981-10-3322-3_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3321-6

  • Online ISBN: 978-981-10-3322-3

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