Design Of A Model Of Computer Decision-Making And A Method Of Multi-Objective Fuzzy Optimization Of House Design Based On AHP

House is the basic need of human being. An optimal selection from house designs will improve the conditions of human being' s residence, increase the benefit of house constructing, harmonize the relationship of human being, building and society, meanwhile be in favor of the sustainable development of nature and society. Based on the engineering economics, the system theory, the methods of modern optimization and the advanced computer technology, this paper developed a model for computer assistant decision-making and a method of Multi-objective Fuzzy Optimization (MFO) of house design based on Analytic Hierarchy Process (AHP).From the characteristics of the house design, this paper systematically analyzed the relations among the factors which affect the design, and enhance classified them and established the corresponding function and cost indexes systems. Then this paper established models of function and cost of MFO, gained the weights of these indexes by AHP to weigh the relative design values of indexes in the corresponding optimal models, and more worked out subjection degree vectors to the relative max-value (SDVRM) of indexes of function and cost, more a ratio vector of the function SDVRM to the cost one was attained too. Furthermore, the optimal design could be selected according to the maximal value of the elements of the ratio vector. A method of MFO for house design based on AHP was established. Finally, this paper developed a model for the computer assistant decision-making, which was composed of algorithms of AHP, MFO in C++ and the user interface (UI) in VC++, based on the analysis of the optimization process and the data stream.This paper combined the advantages of both AHP and MFO, namely combined the consideration of the technique economical parameters of design with suggestions of the experts in the corresponding fields. So the optimal selection of house design is more complete, accurate and objective. Meantime, utilizing advanced computer technology not only increases optimal selection efficiency, but also provides ideas and technology ground for the application of computer to the optimization of designs.