Modeling and Reasoning with Paraconsistent Rough Sets

被引:30
|
作者
Vitoria, Aida [1 ]
Maluszynski, Jan [2 ]
Szalas, Andrzej [3 ]
机构
[1] Linkoping Univ, Dept Sci & Technol, S-60174 Norrkoping, Sweden
[2] Coll Econ & Comp Sci, PL-10061 Olsztyn, Poland
[3] Warsaw Univ, Inst Informat, PL-02097 Warsaw, Poland
基金
瑞典研究理事会;
关键词
approximate reasoning; rough sets; paraconsistent reasoning; four-valued logics; APPROXIMATIONS;
D O I
10.3233/FI-2009-209
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present a language for defining paraconsistent rough sets and reasoning about them. Our framework relates and brings together two major fields: rough sets [23] and paraconsistent logic programming [9]. To model inconsistent and incomplete information we use a four-valued logic. The language discussed in this paper is based on ideas of our previous work [21, 32, 22] developing a four-valued framework for rough sets. In this approach membership function, set containment and set operations are four-valued, where logical values are t (true), f (false), i (inconsistent) and u (unknown). We investigate properties of paraconsistent rough sets as well as develop a paraconsistent rule language, providing basic computational machinery for our approach.
引用
收藏
页码:405 / 438
页数:34
相关论文
共 50 条
  • [1] Rough sets and Boolean reasoning
    Pawlak, Zdzislaw
    Skowron, Andrzej
    INFORMATION SCIENCES, 2007, 177 (01) : 41 - 73
  • [2] Rough sets, modal logic and approximate reasoning
    Chakraborty, Mihir Kr.
    Majumder, Sandip
    Kar, Samarjit
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2025, 176
  • [3] On the Approximate Equalities of Multigranular Rough Sets and Approximate Reasoning
    Tripathy, B. K.
    Mitra, Anirban
    2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT), 2013,
  • [4] On Multigranular Approximate Rough Equivalence of Sets and Approximate Reasoning
    Tripathy, B. K.
    Saraf, Prateek
    Parida, S. Ch.
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 2, 2015, 32 : 605 - 616
  • [5] Signed systems for paraconsistent reasoning
    Besnard, P
    Schaub, T
    JOURNAL OF AUTOMATED REASONING, 1998, 20 (1-2) : 191 - 213
  • [6] Signed Systems for Paraconsistent Reasoning
    Ph. Besnard
    T. Schaub
    Journal of Automated Reasoning, 1998, 20 : 191 - 213
  • [7] Fuzzy modeling based on rough sets and fuzzy sets
    Xie, KM
    Chen, ZH
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 2262 - 2265
  • [8] Approximate boolean reasoning approach to rough sets and data mining
    Nguyen, HS
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS, 2005, 3642 : 12 - 22
  • [9] Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data
    Palangetic, Marko
    Cornelis, Chris
    Greco, Salvatore
    Slowinski, Roman
    ROUGH SETS, IJCRS 2020, 2020, 12179 : 78 - 92
  • [10] A Rough Sets Approach to User Preference Modeling
    Jing, Siyuan
    She, Kun
    ROUGH SET AND KNOWLEDGE TECHNOLOGY (RSKT), 2010, 6401 : 344 - 352