规则优先权排序的直觉模糊群决策算法

Intuitionistic Fuzzy Group Decision Making Algorithm for Rule Priority Ranking

  • 摘要: 为了确保规则优先权排序的合理性,提高排序质量,提出了规则优先权排序的直觉模糊群决策算法.首先根据规则优先权的影响因素,提出了基于多属性群决策的排序模型; 然后针对属性评价信息的特点,采用基于直觉梯形模糊数的属性信息表示与聚合方法,再通过直觉梯形模糊数的期望值和预期得分对规则排序进行综合评判; 最后通过实例分析验证了所提出方法的可行性和有效性.

     

    Abstract: An intuitionistic fuzzy group decision making algorithm is proposed to ensure the rationality of priority ranking and to improve the quality of ranking. Firstly, according to the influencing factors of the rule priorities, a multi-attribute group decision making based ranking model is proposed. Then, considering the characteristics of the experts' attributes evaluation information, the intuitionistic trapezoidal fuzzy number based information representation and aggregation method is adopted, and the rule ranking is evaluated in terms of the expectation and expectant score of the intuitionistic trapezoidal fuzzy number. Finally, an example analysis demonstrates the feasibility and effectiveness of the proposed method.

     

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