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基于优势关系的毕达哥拉斯模糊三支决策模型 被引量:2

Pythagorean Fuzzy Three-Way Decision Model Based on Dominant Relation
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摘要 鉴于毕达哥拉斯模糊集在处理不确定信息中的优势,本文基于毕达哥拉斯模糊集的优势关系,将对象集进行划分,根据三支语义,构建了毕达哥拉斯模糊集的三支决策模型.为解决毕达哥拉斯模糊集的隶属度与非隶属度不是一个确定值的问题,本文设计了具有风险偏好的函数将区间值转化为确定值,进而构建了区间毕达哥拉斯模糊集的三支决策模型,使本文所建立的毕达哥拉斯模糊三支决策模型更具一般性与实用性,进一步拓展并丰富了毕达哥拉斯集与三支决策的相关理论.另外根据风险参数的取值,本文进一步讨论了毕达哥拉斯模糊三支决策模型的乐观型和悲观型.最后通过一个例子说明模型的有效性与可靠性. In view of the advantages of Pythagorean fuzzy sets in processing uncertain information,this paper divides the object set based on the dominant relationship of Pythagorean fuzzy sets,and constructs a three-support decision model of Pythagorean fuzzy sets according to three semantics.In order to solve the problem that membership degree and non-membership degree of Pythagorean fuzzy sets are not definite values,a function with risk appetite is designed to convert interval values into deterministic values,and then a three-way decision model based on interval Pythagorean fuzzy sets is constructed,this makes the Pythagorean fuzzy sets model more general and practical by proposed,and it expands and enriches the theory of the Pythagorean fuzzy sets and the three-way decision.Moreover,according to the values of risk parameters,the optimistic and pessimistic models of the Pythagorean fuzzy three-way decision models are further discussed in this paper.As a result,we show an example to illustrate the validity and feasibility of the model.
作者 赵杰 万仁霞 苗夺谦 ZHAO Jie;WAN Renxia;MIAO Duoqian(College of Mathematics and Information Science,North Minzu University,Yinchuan 750021,China;School of Electronic and Information Engineering,Tongji University,Shanghai 201804,China)
出处 《西南师范大学学报(自然科学版)》 CAS 2022年第12期22-30,共9页 Journal of Southwest China Normal University(Natural Science Edition)
基金 国家自然科学基金项目(61662001) 中央高校基本科研业务费专项资金项目(FWNX04) 宁夏自然科学基金项目(2021AAC03203)。
关键词 优势关系 毕达哥拉斯模糊集 三支决策 乐观型毕达哥拉斯模糊三支决策 悲观型毕达哥拉斯模糊三支决策 dominant relation Pythagorean fuzzy sets three-way decision optimistic Pythagorean fuzzy three-way decision pessimistic Pythagorean fuzzy three-way decision
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