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New Algorithm for Indefinite Multi-objective Decision Making

机译:无限制多目标决策新算法

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There are two major difficulties in the indefinite multi-objective decision making process: As the information about attributes is indefinite, how to express the indefinite information; as the information has multi-channels, how to fuse the information into synthetic information. The multiple-valued intuitive fuzzy sets is one new mathematical model, this model can process well fuzzy information gained from multi-sources. In this article, firstly conduct the research to the multiple-valued intuitive fuzzy set's information fusion and construct some methods to fuse the information included in the degree of membership or non-degree of membership of multiple-valued intuitive fuzzy set , then use the isomorphism mind to research indefinite isomerism multi-objective decision making and construct one new algorithm for interval value and indefinite language isomerism multi-objective decision making based on isomorphism information fusion.
机译:无限的多目标决策过程中存在两个主要困难:因为有关属性的信息是无限期的,如何表达无限期的信息;由于信息具有多通道,如何将信息融合到合成信息中。多价直观模糊集是一个新的数学模型,该模型可以处理从多源中获得的井模糊信息。在本文中,首先对多元值直观模糊集的信息融合进行研究,并构建一些融合中包含的信息的方法或多价直观模糊集的非成员资格,然后使用同义形式基于同构信息融合的思想基于同构信息融合,介绍了无限素的异构性多目标决策,构建一种新的间隔价值和无限语言异构主义多目标决策算法。

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