基于区间值犹豫模糊多粒度粗糙集的三支决策模型OA北大核心CSTPCD
Three-way decision models based on interval-valued hesitant fuzzy multi-granularity rough set
针对区间值犹豫模糊信息系统,提出了两种基于区间犹豫模糊多粒度粗糙集的三支决策模型.首先,借助多粒度粗糙集理论,提出乐观和悲观区间犹豫模糊多粒度粗糙集模型.其次,引入区间犹豫模糊连续交叉熵的概念,用TOPSIS方法来计算对象在不同情况下的条件概率.基于此,定义区间犹豫模糊决策理论粗糙集并给出相应的三支决策规则.最后,通过实例验证了这两种模型对目标评估采取不同的态度和决策方案,并且证明了所提算法的有效性.
In this paper,two three-way decision models based on interval-valued hesitant fuzzy multi-granularity rough set are proposed for the interval-valued hesitant fuzzy information system.First,the optimistic and pessimistic interval-valued hesitant fuzzy multi-granularity rough set models are determined by means of multi-granularity rough set theory.Then,the concept of interval valued hesitant fuzzy continuous cross-entropy is introduced to calculate the conditi…查看全部>>
徐伟华;丁一;邓彪;张晓燕
西南大学 人工智能学院,重庆 400715西南大学 人工智能学院,重庆 400715西南大学 人工智能学院,重庆 400715西南大学 人工智能学院,重庆 400715
计算机与自动化
三支决策区间犹豫模糊多粒度粗糙集连续交叉熵决策理论粗糙集
three-way decisioninterval-valued hesitant fuzzy multi-granularity rough setcontinuous cross-entropydecision-theoretic rough set
《陕西师范大学学报（自然科学版）》 2024 (3)
37-46,10
国家自然科学基金(62376229)
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