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基于模糊推理的权重优化 被引量:3

Weights optimization based on fuzzy reasoning
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摘要 利用模糊推理技术建立了一种基于模糊推理的权重优化模型。该模型利用人们处理复杂问题的逻辑思维方式,通过评价空间和单位评价空间的映射,建立模糊关系方程并将其转化为优化问题得到权重。实验结果表明,利用该模型得到的权重能反映各因素的重要性,用其对待评对象进行模糊综合,结果也是合理的。 Algorithm of weights optimization based on fuzzy reasoning was presented by using fuzzy reasoning technology. Complying with the logical thought model in which people usually deal with complicated problems, fuzzy mapping between evaluation space and identity evaluation space was established. Thus fuzzy relation equation was formed and converted into the optimization problem, which could be used to decide the weight of factors. Experiment result shows that the weight obtained by this model could reflect the importance of factors, and the results of fuzzy comprehensive evaluation are also reasonable.
出处 《计算机工程与设计》 CSCD 北大核心 2006年第9期1530-1532,共3页 Computer Engineering and Design
基金 国家自然科学基金项目(60173046) 湖北省自然科学基金项目(2002AB040)
关键词 模糊推理 权重优化 模糊综合评价 模糊规则 模糊关系方程 fuzzy reasoning weights optimization fuzzy comprehensive evaluation fuzzy rules fuzzy relation equation
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