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
关却东智 1索南仁欠 2华毛加3
作者信息
- 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
- 折叠
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.
Abstract
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 con-cept 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 al-gorithm 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Key words
fuzzy intervals/intersect distance possible degree formula/fuzzy interval number synthetic decision model引用本文复制引用
基金项目
青海省科技厅应用基础研究项目(2019-ZJ-7078)
出版年
2024
NETL
NSTL
万方数据