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基于描述逻辑的模糊软集参数转换算法

刘海 汤庸 陈启买

深圳大学学报(理工版)2011,Vol.28Issue(6):495-499,5.
深圳大学学报(理工版)2011,Vol.28Issue(6):495-499,5.

基于描述逻辑的模糊软集参数转换算法

Description logic based fuzzy soft set parameters conversion algorithm

刘海 1汤庸 1陈启买1

作者信息

  • 1. 华南师范大学计算机学院,广州510631
  • 折叠

摘要

Abstract

The semantics of parameters of fuzzy soft set was enhanced by a knowledge base which is about related problem domain and fuzzy soft set's parameters. This knowledge base can be constructed by applying fuzzy attribute language and complement ( FALC). The reasoning ability of FALC was used in this algorithm to transform theoriginal fuzzy soft set into a fuzzy soft set with user decision parameters. The case study has demonstrated that thedecision making performance of fuzzy soft set is improved.

关键词

计算机科学/决策支持/本体论/模糊系统/一阶谓词逻辑/模糊软集

Key words

computer science/decision making/ ontology/ fuzzy system/ first order predicate logic/ fuzzy soft set

分类

信息技术与安全科学

引用本文复制引用

刘海,汤庸,陈启买..基于描述逻辑的模糊软集参数转换算法[J].深圳大学学报(理工版),2011,28(6):495-499,5.

基金项目

国家自然科学基金资助项目 (60970044) (60970044)

广东省科技计划资助项目(2009B010800036)This work was supportd by the National Natural Science Foundation of China(0970044) and the Science and Technology Projects of Guangdong(2009B010800036) (2009B010800036)

深圳大学学报(理工版)

OA北大核心CSTPCD

1000-2618

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