Logics for Temporal Information Systems in Rough Set Theory

被引:1
|
作者
Khan, Md Aquil [1 ]
Banerjee, Mohua [2 ]
Panda, Sibsankar [1 ]
机构
[1] Indian Inst Technol Indore, Indore 453552, Madhya Pradesh, India
[2] Indian Inst Technol Kanpur, Kanpur 208016, Uttar Pradesh, India
关键词
Rough set theory; approximation operator; modal logic; temporal logic; axiomatization; KNOWLEDGE REPRESENTATION;
D O I
10.1145/3549075
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The article discusses temporal information systems (TISs) that add the dimension of time to complete or incomplete information systems. Through TISs, one can accommodate the possibility of domains or attribute values for objects changing with time or the availability of currently missing information with time. Different patterns of flow of information give different TISs. The corresponding logics with sound and complete axiomatization are presented.
引用
收藏
页数:29
相关论文
共 50 条
  • [21] Processing of information fusion based on Rough Set theory
    Dong, GJ
    Zhang, YS
    Fan, YH
    ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 1, 2005, : 145 - 147
  • [22] Information Reduction Model about Rough Set Theory
    He, Fei
    Yang, Huamin
    ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2, 2014, 846-847 : 1347 - 1350
  • [23] Information representation of the concepts and operations in rough set theory
    Miao, Duoqian
    Wang, Jue
    Jisuanji Xuebao/Chinese Journal of Computers, 1999, 22 (02): : 113 - 116
  • [24] Rough mereology: A rough set paradigm for unifying rough set theory and fuzzy set theory
    Polkowski, L
    FUNDAMENTA INFORMATICAE, 2003, 54 (01) : 67 - 88
  • [25] On rough set logics based on similarity relations
    Polkowski, L
    Semeniuk-Polkowska, M
    FUNDAMENTA INFORMATICAE, 2005, 64 (1-4) : 379 - 390
  • [26] A rough set paradigm for unifying rough set theory and fuzzy set theory
    Polkowski, L
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2003, 2639 : 70 - 77
  • [27] Extension of rough set under incomplete information systems
    Wang, GY
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 1098 - 1103
  • [28] Constrained tolerance rough set in incomplete information systems
    Wan, Renxia
    Miao, Duoqian
    Pedrycz, Witold
    CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2021, 6 (04) : 440 - 449
  • [29] Information Systems and Rough Set Approximations: An Algebraic Approach
    Khan, Md Aquil
    Banerjee, Mohua
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, 2011, 6744 : 339 - 344
  • [30] Conflict analysis and information systems: A rough set approach
    Skowron, Andrzej
    Ramanna, Sheela
    Peters, James F.
    ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS, 2006, 4062 : 233 - 240