On Multigranular Approximate Rough Equivalence of Sets and Approximate Reasoning

被引:2
|
作者
Tripathy, B. K. [1 ]
Saraf, Prateek [1 ]
Parida, S. Ch. [2 ]
机构
[1] VIT Univ, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India
[2] KBV Mahavidyalaya, Dept Math, Ganjam 761104, Odisha, India
关键词
Rough sets; Approximate equalities; Approximate equivalence; Optimistic multigranulation; Pessimistic multigranulation; Replacement properties; EQUALITIES;
D O I
10.1007/978-81-322-2208-8_55
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As the notion of equality in mathematics is too stringent and less applicable in real life situations, Novotny and Pawlak introduced approximate equalities through rough sets. Three more types of such equalities were introduced by Tripathy et al. as further generalisations of these equalities. As rough set introduced by Pawlak is unigranular from the granular computing point of view, two types of multigranulations rough sets called the optimistic and the pessimistic multigranular rough sets have been introduced. Three of the above approximate equalities were extended to the multigranular context by Tripathy et al. recently. In this paper, we extend the last but the most general of these approximate equalities to the multigranular context. We establish several direct and replacement properties of this type of approximate equalities. Also, we illustrate the properties as well as provide counter examples by taking a real life example.
引用
收藏
页码:605 / 616
页数:12
相关论文
共 50 条
  • [41] On the hardness of approximate reasoning
    Roth, D
    [J]. ARTIFICIAL INTELLIGENCE, 1996, 82 (1-2) : 273 - 302
  • [42] Approximate reasoning by agents
    Skowron, A
    [J]. FROM THEORY TO PRACTICE IN MULTI-AGENT SYSTEMS, 2002, 2296 : 3 - 14
  • [43] What Is Approximate Reasoning?
    Rudolph, Sebastian
    Tserendorj, Tuvshintur
    Hitzler, Pascal
    [J]. WEB REASONING AND RULE SYSTEMS, PROCEEDINGS, 2008, 5341 : 150 - +
  • [44] Approximate reasoning with time
    Raha, S
    Ray, KS
    [J]. FUZZY SETS AND SYSTEMS, 1999, 107 (01) : 59 - 79
  • [45] PLAUSIBLE APPROXIMATE REASONING
    KIENITZ, KH
    [J]. CYBERNETICS AND SYSTEMS, 1990, 21 (06) : 647 - 654
  • [46] A symbolic approximate reasoning
    El-Sayed, M
    Pacholczyk, D
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2003, 2639 : 368 - 373
  • [47] Approximate Processing method of random one direction singular rough sets
    Guo, Zhilin
    [J]. RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4, 2013, 734-737 : 2934 - 2937
  • [48] Algebric Properties of Rough Sets using topological characterisations and Approximate Equalities
    Tripathy, B. K.
    Mitra, Anirban
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2013, : 373 - 378
  • [49] Fuzzy preference matroids rough sets for approximate guided representation in transformer
    Zeng, Kai
    Sun, Xinwei
    He, Huijie
    Tang, Haoyang
    Shen, Tao
    Zhang, Lei
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 255
  • [50] FUZZY-SETS IN APPROXIMATE REASONING .2. LOGICAL APPROACHES
    DUBOIS, D
    LANG, J
    PRADE, H
    [J]. FUZZY SETS AND SYSTEMS, 1991, 40 (01) : 203 - 244