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Keywords: multiple attribute decision making (MADM),Analytic Hierarchy Process, Topsis, Index ranking, Weight calculation Abstract. A analytic hierarchy process optimized by topsis was presented aiming at the disadvantages that there are inconsistency and too much subjectivity in the existing multiple attribute decision making(MADM) methods when dealing with the weight calculation and index ranking problems. This method utilizes topsis for index ranking at first, then the weight calculating could according to the ranking results and expert system by the utilize of analytic hierarchy process. Case study indicates that the above method could efficiently weaken the subjectivity, strengthen the consistency of the analytic hierarchy process, and which is easy to be utilized in engineering tests.

Weight Calculation and Index Ranking Study of MADM Based on AHP Optimized by Topsis