摘要
模糊检索能极大提高系统处理非精确信息的能力,因而基于模糊语言的数学模型至关重要.在一些系统中,"模糊"的内容又与性别息息相关.本文提出伴性模糊检索的概念并给出相应的数学模型.实践证明,此模型能极好帮助用户在系统信息模糊的情况下检索出所需信息.
Fuzzy retrieves can greatly improve the ability to deal with the inaccurate information and math models based on fuzzy languages are indispensable to succes. In some system, the contents of fuzzy are closely connected with the sexual distinction, so the concept of sex-linked fuzzy retrieves is put forward and the appropriate math models are listed. It is proved that these models nicely pave the way for users to retrieve the inaccurate information.
出处
《天津理工学院学报》
2004年第4期83-85,共3页
Journal of Tianjin Institute of Technology
关键词
模糊语言
伴性模糊检索
隶属度函数
伴性因子
fuzzy languages
sex-linked fuzzy retrieves
membership functions
sex-linked factor
