Selection of the Best Material for an Axle in Motorcycle using fuzzy AHP and Fuzzy TOPSIS Methods

The choice of materials plays an important role in the decision-making process of the manufacturing organizations. The materials affect many aspects of a product and the manufacturing process too. The improper selection of material can result in a defective final product, which may cause fatal injury. Thus, if satisfactory results are to be expected, immense importance must be given for proper selection of the materials. There are numerous choices and various criteria influencing the selection of material for a particular application. These criteria range from mechanical, electrical, and physical properties to corrosion resistance and economic considerations of the materials. The large number of available materials, together with the complex relationships between various selection parameters, often makes the selection process a difficult task. The problem of selecting a material for an engineering application from among two or more alternatives on the basis of several criteria can be treated as a multi-criteria decision-making (MCDM) problem. There are some MCDM techniques such fuzzy AHP, ANP, fuzzy TOPSIS and VIKOR. In this research work our focus on selection the best material for an axle in motorcycle using "fuzzy analytical hierarchy process" commonly known as fuzzy AHP evolved from Saaty's AHP and "fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method" and then finds the correlation between the findings of these two methods, and check the significant relationship between Ranks obtained by using fuzzy AHP (R1) and Ranks obtained by using fuzzy TOPSIS (R2).

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