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基于伴性模糊检索的数学模型
引用本文:何本阳,沈介文,徐莹. 基于伴性模糊检索的数学模型[J]. 天津理工大学学报, 2004, 20(4): 83-85
作者姓名:何本阳  沈介文  徐莹
作者单位:1. 同济大学,计算机系,上海,200092
2. 镇江高等专科学校,电子信息系,镇江,212003
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.

关 键 词:模糊语言  伴性模糊检索  隶属度函数  伴性因子
文章编号:1004-2261(2004)04-0083-03
修稿时间:2004-03-12

Math models based on sex-linked fuzzy retrieves
HE Ben-yang,SHEN Jie-wen,XU Ying. Math models based on sex-linked fuzzy retrieves[J]. Journal of Tianjin University of Technology, 2004, 20(4): 83-85
Authors:HE Ben-yang  SHEN Jie-wen  XU Ying
Affiliation:HE Ben-yang~1,SHEN Jie-wen~1,XU Ying~2
Abstract: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.
Keywords:fuzzy languages  sex-linked fuzzy retrieves  membership functions  sex-linked factor
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