An Integrated Fuzzy Multi-Attribute Decision-Making Methodology for Evaluation of Mechanical Product

Yuan Chen; Bing Li; Xiao Jun Yang

doi:10.4028/www.scientific.net/KEM.450.534

Paper Titles

Application Analysis of an Improved N-R Iterative Method about Finite Element Numerical Calculation
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Investigation on Finite Strain Constitutive Model with Logarithmic Strain Based on Torsion Experiments
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Work Assignment Optimization Using Genetic Algorithms
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A Female Glasses Fitting Model Based on Neural Network
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An Integrated Fuzzy Multi-Attribute Decision-Making Methodology for Evaluation of Mechanical Product
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Genetic Algorithm Based Methodology for Optimal Maintenance Scheduling of Multi-Unit Systems
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A Data-Driven Neural Network Approach for Remaining Useful Life Prediction
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Sliding Mode Control with Fuzzy Tuning to Pneumatic Driving 6-DOF Parallel Robot
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Wavelet Filter Approach for GPS Attitude Tracking System on Ship
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 450An Integrated Fuzzy Multi-Attribute...

An Integrated Fuzzy Multi-Attribute Decision-Making Methodology for Evaluation of Mechanical Product

Abstract:

The concept evaluation of mechanical product is essentially a multi-attribute decision making (MADM) problem in the fuzzy environment. In order to reduce the adverse impact of preference or judgments of decision makers on the final evaluation results, this paper attempts to propose an integrated fuzzy multi-attribute decision making methodology that combines the fuzzy TOPSIS technique and the objective weighting to evaluate mechanical product. The fuzzy TOPSIS technique is applied to rank the design alternatives, and the objective weighting method is integrated into the fuzzy TOPSIS technique to determine the appropriate criteria weights. Finally, a real application to pan mechanism selection for a cooking robot is demonstrated.