软集及其扩展模型的概述  

An overview of soft set and its extended models

作　　者：李会芳 LI Huifang(Xi'an Vocational University of Automobile,Xi'an,Shaanxi 710600,China)

机构地区：[1]西安汽车职业大学,陕西西安710600

出　　处：《信息记录材料》2023年第2期25-27,共3页Information Recording Materials

基　　金：2021年度校级科研基金项目(2021KJ009)。

摘　　要：软集是一种处理模糊数据的参数化理论模型。本文主要介绍了软集、区间值模糊软集和区间值直觉模糊软集,后两者为软集理论在精确处理不确定性问题领域的扩展。基于对软集及扩展理论模型的应用研究,可实现对模糊数据的准确认知,提高模糊数据的利用效率和决策能力。Soft set is a parameterized theoretical model for processing fuzzy data. This paper mainly introduces soft set,interval valued fuzzy soft set and interval valued intuitionistic fuzzy soft set, the latter two are the expansion of soft set theory in the field of accurate handling of uncertainty problems. Based on the application research of soft set and extended theoretical model, it can realize accurate cognition of fuzzy data and improve the utilization efficiency and decision-making ability of fuzzy data.

关 键 词：软集 区间值模糊软集 区间值直觉模糊软集 决策 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]