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Evaluating the conceptual design schemes of complex products based on FAHP using fuzzy number
作者姓名:周凯波  冯珊
作者单位:Inst .of System Engineering,Dept .of Control Science &Engineering,Huazhong Univ .of Science and Technology,Inst .of System Engineering,Dept .of Control Science &Engineering,Huazhong Univ .of Science and Technology Wuhan 430074,P. R. China,Wuhan 430074,P. R. China
基金项目:This project was partly supported bythe Key Programof the National Natural Science Foundation of China (79990580) .
摘    要:1 .INTRODUCTIONIn the conceptual design stage of complex products(such as missile system) ,CBR1]tool is useful to of-fer a feasible set of schemes . Then the most adaptivescheme can be generatedthrough a procedure of com-parison and evaluation. The procedure is essentially amultiple criteria decision-making problem.The missile systemis a large and complex sys-tem,In the last decade , Cheng3], Mon4], Chen5]and Zhang6]have proposedfuzzy AHP2]or fuzzy de-cision of hierarchy methods…


Evaluating the conceptual design schemes of complex products based on FAHP using fuzzy number
Zhou Kaibo,Feng Shan.Evaluating the conceptual design schemes of complex products based on FAHP using fuzzy number[J].Journal of Systems Engineering and Electronics,2005,16(3).
Authors:Zhou Kaibo  Feng Shan
Institution:Inst.of System Engineering,Dept.of Control Science & Engineering,Huazhong Univ.of Science and Technology,Wuhan 430074,P.R.China
Abstract:In the conceptual design stage of complex products, CBR(Case Based Reasoning) tool is useful to offer a feasible set of schemes. Then the most adaptive scheme can be generated through a procedure of comparison and evaluation. The procedure is essentially a multiple criteria decision making problem. The traditional multiple criteria programming is not flexible enough in executing the system evaluation algorithm due to both the limited experimental data and the lack of human experiences. To make the CBR tool to be more efficient, a new method for the best choice among the feasible schemes based on the Fuzzy AHP using Fuzzy numbers (FFAHP) is proposed. Since the final results become a problem of ranking the mean of fuzzy numbers by the optimism of decision maker using the FFAHP, its execution is much more intuitive and effective than with the traditional method.
Keywords:complex products  conceptual design  fuzzy analytic hierarchy process  fuzzy number  
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