基于q-正交模糊集的冲突分析模型

A q-rung orthopair fuzzy set based conflict analysis model

基于q-正交模糊集构建冲突分析模型,用q-正交模糊数表示对象关于议题的态度,并使用综合联盟距离衡量对象关于议题的联盟度,进一步通过分析对象和议题的3种联盟层次得到冲突的内因。其次,基于模糊粗糙自信息给出可行策略集的分类能力评价,由此构建寻找最佳可行策略的后向算法。模糊粗糙自信息所需的分类信息由对象的3种联盟层次充当,进一步便可定义联盟层次的上下近似,从而得到可行策略集的分类能力评价。最后,通过中东冲突的例子演示了模型及算法的可行性,并分析了阈值对输出的最佳可行策略集的影响。

We propose a q-rung orthopair fuzzy set based conflict analysis model,employ q-rung orthopair fuzzy numbers to denote the attitudes of agents toward issues.In addition,comprehensive alliance distance is used to measure the alliance degree of agents on the issues,and the conflicting reasons are obtained based on an analysis of the three alliance levels of agents and issues.Furthermore,the classification ability evaluation of a feasible strategy set is given based on fuzzy rough self-information,and a backward algorithm for finding the best feasible strategy is constructed.We consider the three alliance levels of the agents as the classification information required by fuzzy rough self-information.Further,the upper and lower approximations of the alliance levels can be defined,so as to obtain the classification ability evaluation of the feasible strategy set.Finally,the feasibility of the model and algorithm proposed in this paper is demonstrated through an example of Middle East conflict,and analyze the influence of changing value of thresholds on the optimal feasible strategy.