基于改进模糊熵的区间直觉模糊多属性决策

充分考虑区间直觉模糊决策问题的直觉性和模糊性因素,提出改进的融合隶属度、非隶属度和犹豫度的区间直觉模糊熵计算公式,运用改进的模糊熵公式计算决策属性指标的权重值,提高决策指标权重的客观性。首先,在以上改进熵公式基础上,运用区间直觉模糊混合几何算子和新的得分函数计算各决策方案的综合指标值,以保证决策信息的全面性;然后,再利用新的得分函数对方案进行排序得到最优决策结果。最后,以实际案例验证提出的决策方法的有效性和实用性。

Interval-valued intuitionistic fuzzy multiple attribute decision making based on the improved fuzzy entropy

This paper fully considers the intuition and fuzziness factors of the interval-valued intuitionistic fuzzy decision problems. An improved interval-valued intuitionistic fuzzy entropy formula of membership, non-membership and hesitancy degree is proposed. This formula applies this fuzzy entropy formula to the calculation of the weights of decision attribute indexes, so that it improves the objectivity of the weights of decision attribute indexes. Based on the above improved entropy formula, the interval-valued intuitionistic fuzzy hybrid geometric operators and new scoring functions are employed to calculate the comprehensive index values of each scheme, so as to ensure the comprehensiveness of decision information. The alternatives are then ranked by the new scoring function. Finally, a practical case is used to verify the effectiveness and practicability of the proposed decision method.