基于直觉犹豫模糊集的群体决策规则提取方法

Group Decision Rule Extraction Method Based on Intuitionistic Hesitant Fuzzy Set

群体决策的合理性和科学性是提高综合效益的重要保证,一旦决策选择失误,将直接影响效益的获得。为此提出一种基于直觉犹豫模糊集的群体决策规则提取方法。首先利用一种爬虫+数据仓库的方法,收集网络决策基础信息,并进行整理和归纳,然后利用遗传粒子群算法对基础信息进行属性约简,降低其维度,最后结合直觉犹豫模糊集理论,依据基础数据构建直觉犹豫模糊矩阵,通过计算各决策权重和得分函数值,得出各决策的综合分值,并按照从大到小顺序排序,提取最优群体决策规则。实验结果表明:将所研究方法应用到配送中心选址问题中效果较好,证明了所研究方法的有效性。

The rationality and scientificity of group decision-making affect the acquisition of benefits. Therefore, this paper proposes a group decision rule extraction method based on intuitionistic hesitation fuzzy set. Firstly, the method of crawler combined with data warehouse was adopted to collect the basic information of network decision-making, and the information was sorted and summarized. Secondly, genetic particle swarm optimization algorithm was introduced to reduce the basic information of attribute reduction in order to reduce its dimension. Then, according to the intuitionistic hesitation fuzzy set theory and basic data, the intuitionistic hesitation fuzzy matrix was established. Then, according to the calculation of each decision weight and score function value, the comprehensive score of each decision was obtained, and the score was sorted from high to low. Finally, the optimal group decision rules were extracted. The experimental results show that this method has excellent effect and effectiveness.