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基于限制优势关系的粗糙模糊集及知识约简
引用本文:骆公志,杨习贝,杨晓江.基于限制优势关系的粗糙模糊集及知识约简[J].系统工程与电子技术,2010,32(8):1657-1661.
作者姓名:骆公志  杨习贝  杨晓江
作者单位:(1. 南京航空航天大学经济与管理学院, 江苏 南京 210016;; 2. 南京理工大学计算机科学与技术学院, 江苏 南京 210094)
基金项目:国家自然科学基金,江苏省"青蓝工程"(2008),江苏省高校哲学社会科学基金 
摘    要:以不完备模糊目标信息系统为研究对象,在其中提出了限制优势关系的概念。相比较于传统的优势关系,使用基于限制优势关系的粗糙模糊集,可以提高模糊目标的近似精度与近似质量。在限制优势关系粗糙模糊集的基础上,提出了相对下、上近似约简的概念。最后给出了求得相对下、上近似约简的具体操作方法并进行实例分析以说明其有效性。

关 键 词:不完备模糊目标信息系统  粗糙模糊集  限制优势关系  相对约简

Limited dominance-based rough fuzzy set and knowledge reductions
LUO Gong-zhi,YANG Xi-bei,YANG Xiao-jiang.Limited dominance-based rough fuzzy set and knowledge reductions[J].System Engineering and Electronics,2010,32(8):1657-1661.
Authors:LUO Gong-zhi  YANG Xi-bei  YANG Xiao-jiang
Institution:(1. Coll. of Economics and Management, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China; ; 2. School of Computer Science and Technology, Nanjing Univ. of Science and Technology, Nanjing 210094, China)
Abstract:The concept of limited dominance relation is proposed in the incomplete fuzzy objective information system. By comparing with the traditional dominance relation in such information system, one can obtain higher approximate accuracy and approximate quality of fuzzy objects by using the limited dominance-based rough fuzzy set approach. Moreover, based on the limited dominance-based rough fuzzy set model, two types of knowledge reductions, the relative lower and upper approximate reductions are proposed. Finally, the practical approaches to compute the relative lower and upper approximate reductions are presented and then an illustrative example is employed to show the validity of such approaches.
Keywords:incomplete fuzzy objective information system  rough fuzzy set  limited dominance relation  relative reduction
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