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A MCDM-Based Approach for Selection of a Sedan Car from Indian Car Market

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 741)

Abstract

In today’s era, there are many fastest growing industries in this world and automobile industry is one of them. Today’s automobile industry plays an important role in consumer life. Consumer search for a car that packs together best feature at a reasonable/affordable cost. Every year, various models with latest technology and excellent features are introduced in the market as a result consumer has to face difficulties for selecting the best car among the available alternative from the market according to their need. A number of criteria are involved while selecting the best car among the available alternative hence, this is a multi-criteria decision-making problem (MCDM). In this work, Fuzzy AHP- and TOPSIS-based approaches have been used to solve the selection problem of a sedan car. To select the best sedan car on the basis of car criteria and sub-criteria’s which are Performance, Comfort, etc. A Fuzzy AHP has been used for calculating the weight of each criteria and sub-criteria and for ranking of the cars TOPSIS method has been applied. The main aim of this work is to minimize the consumer effort for selection of car and to allow them to take accurate decision.

Keywords

  • MCDM (Multi-Criteria Decision-Making) approach
  • Fuzzy AHP
  • TOPSIS
  • Car selection

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Correspondence to Shwetank Avikal .

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Singh, R., Rashmi, Avikal, S. (2019). A MCDM-Based Approach for Selection of a Sedan Car from Indian Car Market. In: Yadav, N., Yadav, A., Bansal, J., Deep, K., Kim, J. (eds) Harmony Search and Nature Inspired Optimization Algorithms. Advances in Intelligent Systems and Computing, vol 741. Springer, Singapore. https://doi.org/10.1007/978-981-13-0761-4_55

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