基于证据理论的偏好型直觉模糊群决策方法

发布时间：2018-01-28 12:26

本文关键词： 多属性群决策直觉模糊证据理论直觉模糊熵犹豫度　出处：《控制与决策》2017年05期 　论文类型：期刊论文

【摘要】：针对直觉模糊多属性群决策问题,研究属性和专家权重的确定以及信息的集结方法.利用直觉模糊熵确定属性客观权重,并根据偏好信息确定合理的属性综合权重;在属性层面区分专家权重,将直觉模糊评价值作为Mass函数,构建证据冲突度模型确定专家权重,并利用犹豫度加以修正,避免综合支持度低而对方案排序影响大的专家权重过分削弱;采用证据理论集结决策信息,根据得分值进行方案排序.最后通过算例分析,验证了所提出方法的合理性和有效性.
[Abstract]:Aiming at the problem of intuitionistic fuzzy multi-attribute group decision making, the determination of attribute and expert weight and the method of information aggregation are studied, and the objective weight of attribute is determined by intuitionistic fuzzy entropy. And according to the preference information to determine the reasonable attribute comprehensive weight; At the attribute level, the expert weight is distinguished, the intuitionistic fuzzy evaluation value is taken as Mass function, the evidence conflict degree model is constructed to determine the expert weight, and the hesitancy degree is used to modify the expert weight. Avoid the excessive weakening of the expert weight which has a low comprehensive support degree and has a great influence on the ranking of programs; The evidence theory is used to assemble the decision information, and the scheme is sorted according to the score value. Finally, the rationality and validity of the proposed method are verified by an example.
【作者单位】：空军工程大学装备管理与安全工程学院;
【基金】：国家自然科学基金项目(1524032) 陕西省自然科学基金项目(2014JQ2-7045)
【分类号】：C934
【正文快照】： 0在直觉模糊多属性群决策问题中,如何确定合理的属性和专家权重并有效集结决策信息,对备选方案的排序至关重要.属性权重有主观和客观之分.主观权重带有一定的主观色彩;客观权重虽具有数学理论支撑,但说服性不强,同时还存在所得权重与属性实际重要程度相悖的可能.将两者加以结

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