Relationships between relation-based rough sets and belief structures

被引:10
|
作者
Zhang, Yan-Lan [1 ,3 ,4 ]
Li, Chang-Qing [2 ]
机构
[1] Minnan Normal Univ, Coll Comp, Zhangzhou 363000, Fujian, Peoples R China
[2] Minnan Normal Univ, Sch Math & Stat, Zhangzhou 363000, Fujian, Peoples R China
[3] Fujian Prov Univ, Key Lab Data Sci & Intelligence Applicat, Fuzhou 363000, Fujian, Peoples R China
[4] Minnan Normal Univ, Key Lab Granular Comp, Zhangzhou 363000, Peoples R China
基金
中国国家自然科学基金;
关键词
Belief and plausibility functions; Evidence theory; Relation approximation operators; Relation-based rough sets; DEMPSTER-SHAFER THEORY; KNOWLEDGE REDUCTION; APPROXIMATION SPACE; EXTENSIONS; SYSTEMS; FUSION;
D O I
10.1016/j.ijar.2020.10.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As two important methods used to deal with uncertainty, the rough set theory and the evidence theory have close connections with each other. The purpose of this paper is to examine relationships between the relation-based rough set theory and the evidence theory, and to present interpretations of belief structures in relation-based rough set algebras. The probabilities of relation lower and upper approximations from a serial relation yield a pair of belief and plausibility functions and its belief structure. Properties of the belief structures induced by different relation-based rough set algebras are explored in this paper. The belief structure induced from a reflexive (serial and transitive, serial and symmetric, serial and Euclidean, respectively) relation is reflexive (transitive, symmetric, Euclidean, respectively). Conversely, for a reflexive (transitive, symmetric, Euclidean, respectively) belief structure, there exist a probability and a reflexive (serial and transitive, serial and symmetric, serial and Euclidean, respectively) relation such that the belief and plausibility functions defined by the known belief structure are, respectively, the belief and plausibility functions induced by the relation approximation operators. Then, necessary and sufficient conditions for a belief structure to be the belief structure induced by the relation approximation operators from different binary relations are presented. (c) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:83 / 98
页数:16
相关论文
共 50 条
  • [21] Establishing performance evaluation structures by fuzzy relation-based cluster analysis
    Guh, Yuh-Yuan
    Yang, Miin-Shen
    Po, Rung-Wei
    Lee, E. Stanley
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2008, 56 (02) : 572 - 582
  • [22] FURTHER REMARKS ON THE RELATION BETWEEN ROUGH AND FUZZY-SETS
    CHANAS, S
    KUCHTA, D
    FUZZY SETS AND SYSTEMS, 1992, 47 (03) : 391 - 394
  • [23] Interpretations of belief functions in the theory of rough sets
    Yao, YY
    Lingras, PJ
    INFORMATION SCIENCES, 1998, 104 (1-2) : 81 - 106
  • [24] Fuzzy relation-based diagnosis
    Rakityanskaya, A. B.
    Rotshtein, A. P.
    AUTOMATION AND REMOTE CONTROL, 2007, 68 (12) : 2198 - 2213
  • [25] RELATION-BASED EVIDENTIAL REASONING
    AN, Z
    BELL, DA
    HUGHES, JG
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1993, 8 (03) : 231 - 251
  • [26] Relation-Based Information Retrieval
    Manjula, D.
    Geetha, T.
    JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2005, 4 (02) : 133 - 138
  • [27] RELATION-BASED SEMANTICS FOR CONCURRENCY
    BOUDRIGA, N
    SLIMANI, Y
    MILI, A
    INFORMATION SCIENCES, 1993, 75 (03) : 223 - 252
  • [28] A note on granular sets and their relation to rough sets
    Ligeza, Antoni
    Szpyrka, Marcin
    ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, PROCEEDINGS, 2007, 4585 : 251 - +
  • [29] FUZZY COMPATIBILITY RELATION-BASED DECISION-THEORETIC ROUGH SET OVER TWO UNIVERSIES
    Xu, You-Quan
    Zeng, Da-Lin
    Sun, Bing-Zhen
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 169 - 173
  • [30] Algebraic structures for rough sets
    Cattaneo, G
    Ciucci, D
    TRANSACTIONS ON ROUGH SETS II: ROUGH SETS AND FUZZY SETS, 2004, 3135 : 208 - 252