Rough approximation in fuzzy decision systems

被引：0
|
作者：
Li, Hongru [1 ]
Wei, Ping
Zhang, Wenxiu
机构：
[1] Yantai Univ, Dept Math & Informat Sci, Shandong 264005, Peoples R China
[2] Xi An Jiao Tong Univ, Inst Informat & Syst Sci, Fac Sci, Xian 710049, Shaanxi, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper presents a new method of approximating fuzzy decision concepts by using fuzzy condition concepts. The rough approximation of fuzzy concepts is investigated based on the idea of abstract approximation space in rough set theory. A weak approximation space and a CN-fuzzy rough set are defined in fuzzy decision systems by means of a family of fuzzy condition concepts, from which the values of lower and upper approximation of each object may be determined. Therefore, a decision making about fuzzy concept is obtained.
引用
收藏
页码：1931 / 1934
页数：4
相关论文
共 50 条
  • [21] On generalized intuitionistic fuzzy rough approximation operators
    Zhou, Lei
    Wu, Wei-Zhi
    INFORMATION SCIENCES, 2008, 178 (11) : 2448 - 2465
  • [22] On rough approximation projectors with properties in the fuzzy environment
    Lin, Meng-Lei
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2010, 13 (04): : 1149 - 1161
  • [23] An extension of rough approximation quality to fuzzy classification
    Huynh, VN
    Murai, T
    Ho, TB
    Nakamori, Y
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 1, PROCEEDINGS, 2005, 3641 : 373 - 382
  • [24] Rough sets on intuitionistic fuzzy approximation spaces
    Tripathy, B. K.
    2006 3RD INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2006, : 762 - 765
  • [25] Rough sets and decision rules in fuzzy set-valued information systems
    Zhu, DJ
    Feng, BQ
    Guan, T
    MICAI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2005, 3789 : 204 - 213
  • [26] A characterization of novel rough fuzzy sets of information systems and their application in decision making
    Yu, Bin
    Guo, Lankun
    Li, Qingguo
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 122 : 253 - 261
  • [27] Invertible approximation operators of generalized rough sets and fuzzy rough sets
    Liu, Guilong
    Sai, Ying
    INFORMATION SCIENCES, 2010, 180 (11) : 2221 - 2229
  • [28] (v, T)-fuzzy rough approximation operators and the TL-fuzzy rough ideals on a ring
    Li, Fei
    Yin, Yunqiang
    Lu, Lingxia
    INFORMATION SCIENCES, 2007, 177 (21) : 4711 - 4726
  • [29] Rough approximation operators based on quantale-valued fuzzy generalized neighborhood systems
    Zhao, F. F.
    Li, L. Q.
    Sun, S. B.
    Jin, Q.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2019, 16 (06): : 53 - 63
  • [30] A Variable Precision Fuzzy Rough Set Approach to a Fuzzy-Rough Decision Table
    Jian, Li-rong
    Li, Ming-yang
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2016), 2016, : 236 - 240
12345