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- W2356708985 abstract "The key problem in optimizing water resource engineering schemes is how to determine with reason weights of the evaluation indexes of water resource engineering schemes. For this reason, in this paper the whole diversity information of evaluation index sample values can be mined by using projection pursuit evaluation method based on ideal solution point method and accelerating genetic algorithm (TOPSIS-PP). The local diversity information of evaluation index sample values can be mined by using improved fuzzy analytic hierarchy process evaluation method based on accelerating genetic algorithm (AGA-FAHP). And then an objective combined evaluation model (OCEM) was made through integrating TOPSIS-PP and AGA-FAHP for comprehensive evaluation of water resource engineering schemes. The research results show that the evaluation index samples information is utilized much sufficiently by using OCEM, that the decision-making information is more rich and impersonal provided by OCEM than by the common projection pursuit methods, that importance of each valuation index can be recognized in comprehensive evaluation of water resource engineering schemes, and that computation result of OCEM is objective, stability and distinguishability, so it can be widely applied to different engineering scheme optimization." @default.
- W2356708985 created "2016-06-24" @default.
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- W2356708985 date "2004-01-01" @default.
- W2356708985 modified "2023-09-25" @default.
- W2356708985 title "Objective Combined Evaluation Model for Optimizing Water Resource Engineering Schemes" @default.
- W2356708985 hasPublicationYear "2004" @default.
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