基于优先度函数的概率不确定语言术语集双边匹配方法
A two-sided matching method for probabilistic uncertain linguistic term sets based on priority functions
白晓莉 1陈岩 2邓珍美1
作者信息
- 1. 沈阳工业大学理学院,辽宁沈阳 110870
- 2. 沈阳工业大学理学院,辽宁沈阳 110870;沈阳工业大学管理学院,辽宁沈阳 110870
- 折叠
摘要
针对具有概率不确定语言评价的双边匹配问题,考虑双边主体趋优性的心理行为特征,提出一种基于优先度函数的双边匹配方法.首先,定义了概率不确定语言术语集的区间型得分;其次,结合可能度构造优先度函数来描述双边匹配主体心理行为,并定义了距离测度,进而得到满意度矩阵,在此基础上,以双边匹配主体综合满意度最大化为目标,构建并求解了匹配优化模型.最后,通过软件供需商匹配算例与现有双边匹配方法进行比较分析,说明了该方法的实用性及有效性.
Abstract
For a two-sided matching problem with probabilistic uncertain language evaluation,a two-sided matching method based on the priority function is proposed,considering the psychological behavioral characteristics of the convergence of bilateral subjects.Firstly,the interval type score of the probabilistic uncertain language term set is defined;secondly,a priority function is constructed to describe the psychological behaviour of a two-sided matching subjects in combination with the likelihood degree;a distance measure is defined;and then a satisfaction matrix is obtained,based on which a matching optimisation model is constructed and solved with the objective of maximising the comprehensive satisfaction of a two-sided matching subjects.Finally,the practicality and effectiveness of the method are illustrated by comparing the software supplier-demander matching example with existing a two-sided matching methods.
关键词
双边匹配/概率不确定语言术语集/区间型得分/优先度函数/距离测度Key words
two-sided matching/glossary of probabilistic uncertain language terms/interval type score/priority function/distance measurement引用本文复制引用
基金项目
国家自然科学基金(62103289)
辽宁省科技厅科技项目(2019-ZD-0209)
出版年
2024
NETL
NSTL
万方数据