Decision systems in rough set theory: A set operatorial perspective

被引:19
|
作者
Chiaselotti, G. [1 ]
Gentile, T. [1 ,2 ]
Infusino, F. [1 ]
机构
[1] Univ Calabria, Dept Math & Informat, Via Pietro Bucci,Cubo 30B, I-87036 Arcavacata Di Rende, CS, Italy
[2] Univ Milano Bicocca, Dept Informat Syst & Commun, I-20126 Milan, Italy
关键词
Rough set theory; decision systems; set partitions; closure systems; abstract simplicial complexes; set operators; FINITE METRIC-SPACES; CLOSURE SYSTEMS; NEGATIVE TYPE; LATTICES; PRECLUSIVITY; HYPERGRAPH; EXTENSION; GRAPHS;
D O I
10.1142/S021949881950004X
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In rough set theory (RST), the notion of decision table plays a fundamental role. In this paper, we develop a purely mathematical investigation of this notion to show that several basic aspects of RST can be of interest also for mathematicians who work with algebraic and discrete methods. In this abstract perspective, we call decision system a sextuple S = < U-S, Omega(S), C-S, D-S, F-S, A(S)>, where U-S, C-S, A(S) are non-empty sets whose elements are called, respectively, objects, condition attributes, values, D-S is a (possibly empty) set whose elements are called decision attributes, Omega(S) := C-S boolean OR D-S and F-S :U-S x (C-S boolean OR D-S) -> A(S) is a map. The basic tool of our analysis is the equivalence relation (A) on U-S, depending on the choice of a condition attribute subset A subset of C-S boolean OR D-S and defined as follows: u (A) u' :<--> F-S(u,a) = F-S(u', a) for all a is an element of A. We denote by [u]A the equivalence class of u is an element of U-S with respect to (A). We interpret the classical RST notions of consistency and inconsistency for a decision table in an abstract algebraic set operatorial perspective and, in such a context, we introduce and investigate a kind of local consistency in any decision system S. More specifically, we fix W subset of U-S, A subset of C-S and try to determine in what cases all objects u is an element of W satisfy the condition [u](A )boolean AND W subset of [u]D-S boolean AND W. Then, we build a formal general framework whose basic tools are two local consistency set operators and a global closure operator, the condition attribute set C-S. This paper provides a detailed study of these set operators, of the induced set systems and of the most relevant links between them.
引用
收藏
页数:48
相关论文
共 50 条
  • [1] Extensions of Multistage Decision Transition Systems: The Rough Set Perspective
    Pancerz, Krzysztof
    [J]. MAN-MACHINE INTERACTIONS, 2009, 59 : 209 - 216
  • [3] A measure in the rough set theory to decision systems with continuo features
    Filiberto, Yaima
    Bello, Rafael
    Caballero, Yaile
    Larrua, Rafael
    [J]. REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2011, (60): : 141 - 152
  • [4] Immune algorithm for discretization of decision systems in rough set theory
    Jia P.
    Dai J.-H.
    Chen W.-D.
    Pan Y.-H.
    Zhu M.-L.
    [J]. Journal of Zhejiang University-SCIENCE A, 2006, 7 (4): : 602 - 606
  • [5] Decision rules based on rough set theory in generalized information systems
    Zhou, Jun
    Zhang, Qing-Ling
    Tong, Shao-Cheng
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 1477 - +
  • [6] Rough set theory for group decision analysis
    An, LP
    [J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS 1 AND 2, 2004, : 158 - 162
  • [7] Rough Set Theory in Pavement Maintenance Decision
    Hung, Ching-Tsung
    Chang, Jia-Ruey
    Lin, Jyh-Dong
    Tzeng, Gwo-Hshiung
    [J]. EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2009, 5755 : 266 - +
  • [8] Rough set theory analysis on decision subdivision
    Xu, JC
    Shen, JY
    Wang, GY
    [J]. ROUGH SETS AND CURRENT TRENDS IN COMPUTING, 2004, 3066 : 340 - 345
  • [9] Decision Making in Fuzzy Rough Set Theory
    Chacon-Gomez, Fernando
    Cornejo, M. Eugenia
    Medina, Jesus
    [J]. MATHEMATICS, 2023, 11 (19)
  • [10] A rough set paradigm for unifying rough set theory and fuzzy set theory
    Polkowski, L
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2003, 2639 : 70 - 77