An Efficient Hybrid MCDM based Approach for Car Selection in Automobile Industry

In this competitive market, productivity and success story of automobile industry mostly depends on the car models and their acceptance by the customers. Nowadays, new car models are introduced in the market at an increasing rate with new technological advancement by discarding and outdating the old models. However, customer satisfaction is very essential for improving the growth of any automobile industry. Thus, automobile industry should know the consumer demands and needs, which directly or indirectly relate to the improvement of the car models. This paper proposes an efficient hybrid model which will help the customers for selection of best car models. The hybrid model constitutes Fuzzy AHP and PROMETHEE II techniques as both are best MCDM techniques for solving decision problem efficiently and economically.