基于相交距离可能度的模糊区间数排序方法研究  

Research on fuzzy interval value ranking method based on intersection distance possibility

作　　者：关却东智 索南仁欠[2] 华毛加 GUANQUE Dong-zhi;SUONAN Ren-qian;HUA Mao-jia(Qinghai Minzu University,Xining 810007,China;Graduate Student Department,Qinghai Normal University,Xining 810008,China;Qinghai Qaidam Vocational&Technical College,Delingha 817099,China)

机构地区：[1]青海民族大学预科教育学院,青海西宁810007 [2]青海师范大学研究生院,青海西宁810008 [3]青海柴达木职业技术学院,青海德令哈817099

出　　处：《青海师范大学学报（自然科学版）》2024年第2期13-17,共5页Journal of Qinghai Normal University(Natural Science Edition)

基　　金：青海省科技厅应用基础研究项目(2019-ZJ-7078)。

摘　　要：在决策制定和系统评价领域,模糊区间数因其能够有效表达不确定性而被广泛应用.针对模糊区间数排序在实际应用中的计算繁杂,且在大数据环境下的应用效率受限等问题,本文引入相交距离概念给出模糊区间数的相交距离公式,提出一种新的排序算法,并讨论了该公式的相关性质.通过对比实验,证实了该算法在处理模糊区间数排序问题时的有效性和实用性.In the field of decision making and system evaluation,fuzzy interval numbers are widely used because they can effectively express uncertainty.In view of the complexity of fuzzy interval number sorting in practical applications and the limited efficiency of application in big data environment,the concept of intersection distance is introduced to give the intersection distance formula of fuzzy interval number comparison,and a new sorting algorithm is proposed.Finally,the effectiveness and practicability of the algorithm in fuzzy interval number sorting are verified by comparison experiments.

关 键 词：模糊区间数 相交距离可能度公式 模糊区间数综合决策模型 

分 类 号：O159[理学—数学]