Paper Title
An Intelligent Approach For Material Selection Of Sensitive Components Based On Fuzzy Topsis And Sensitivity Analysis

Abstract
The aim of this paper is to develop a new approach, based on Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and sensitivity analysis, to choose the appropriate material. Eleven candidate materials are evaluated in this study to find the optimal material for a sensitive component �hip prosthesis�, and nine evaluation criteria such as tensile strength, corrosion resistance, tissue tolerance, fatigue strength, wear resistance, elastic modulus, specific gravity and cost are considered. Co_Cr alloys_Wrought alloy are found as the best material for hip prosthesis production. The results obtained are verified via a sensitivity analysis, and also compared with the existing method to check the robustness of the proposed approach. Keywords- Selection for Material Properties, Fuzzy TOPSIS, Sensitivity Analysis.