Model and calculation example analysis for hybrid multiple attribute decision-making based on TOPSIS and membership function
Abstract：In order to solve the complex hybrid multiple attribute decision-making problem of combining such indexes as definite number,grey number and fuzzy number with the increasing,decreasing and constant numerical values,a model for hybrid multiple attribute decision-making was established based on TOPSIS method,grey system theory,fuzzy number and membership function.The calculation examples for the performance evaluation of business process reengineering（BPR） were designed.Both validity and feasibility of the model were verified.Moreover,the sensitivity analysis was also carried out for the model.The analysis results show that the model for hybrid multiple attribute decision-making can perform the quantitative ordering of candidate schemes accurately.Furthermore,the selection of evaluation indexes in the model plays an important role in decision-making.
Keywords：hybrid multiple attribute decision-makinggrey numberfuzzy numberTOPSISideal solutionmembership functionperformance evaluationbusiness process reengineering
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)