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Dominance-based rough set approach as a paradigm of knowledge discovery and granular computing

Dominance-based rough set approach as a paradigm of knowledge discovery and granular computing
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摘要 Dominance-based rough set approach(DRSA) permits representation and analysis of all phenomena involving monotonicity relationship between some measures or perceptions.DRSA has also some merits within granular computing,as it extends the paradigm of granular computing to ordered data,specifies a syntax and modality of information granules which are appropriate for dealing with ordered data,and enables computing with words and reasoning about ordered data.Granular computing with ordered data is a very general paradigm,because other modalities of information constraints,such as veristic,possibilistic and probabilistic modalities,have also to deal with ordered value sets(with qualifiers relative to grades of truth,possibility and probability),which gives DRSA a large area of applications. Dominance-based rough set approach (DRSA) permits representation and analysis of all phenomena involving monotonicity relationship between some measures or perceptions. DRSA has also some merits within granular computing, as it extends the paradigm of granular computing to ordered data, specifies a syntax and modality of information granules which are appropriate for dealing with ordered data, and enables computing with words and reasoning about ordered data. Granular computing with ordered data is a very general paradigm, because other modalities of information constraints, such as veristic, possibilistic and probabilistic modalities, have also to deal with ordered value sets (with qualifiers relative to grades of truth, possibility and probability), which gives DRSA a large area of applications.
出处 《重庆邮电大学学报(自然科学版)》 北大核心 2010年第6期708-719,共12页 Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
关键词 rough sets dominance-based rough set approach(DRSA) ordinal classification variable-consistency DRSA monotonic decision rules granular computing rough sets dominance-based rough set approach (DRSA) ordinal classification variable-consistency DR- SA monotonic decision rules granular computing
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  • 1GRECO S, MATARAZZO B, SLOWINSKI R. Granular Computing and Data Mining for OrdOred Data - the Dominance-based Rough Set Approach [ M ]//MEYERS R A. Encyclopedia of Complexity and Systems Science, New York : Springer, 2009 : 4283-4305.
  • 2GRECO S, MATARAZZO B, SLOWINSKI R. Dominance-based Rough Set Approach to Granular Computing. Chapter 19 [ M ]// YAO J-T. Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation. Hershey PA: IGI Global, 2010:378-424.
  • 3SLOWINSKI R, GRECO S, MATARAZZO B. Rough Sets in Decision Making[ M]// MEYERS R A. Encyclopedia of Complexity and Systems Science, New York: Springer, 2009:7753-7786.
  • 4GRECO S, MATARAZZO B, SLOWINSKI R. Granular computing for reasoning about ordered data: the dominance-based rough set approach. Chapter 15 [ M]//PEDRYCZ W, SKOWRON A, KREINOVICH V. Handbook of Granular Computing. Chichester: Wiley, 2008:347- 373.
  • 5PAWLAK Z. Rough Sets: Theoretical Aspects of Reasoning about Data[ M ]. USA: Kluwer Academic Publishers,1991.
  • 6PAWLAK Z, GRZYMALA-BUSSE J W, SLOWINSKI R, ZIARKO W. Rough sets [ J]. Communications of the ACM, 1995, 38(11) : 89-95.
  • 7POLKOWSKI L. Rough Sets: Mathematical Foundations [ M ]. Heidelberg New York : Physica-Verlag, 2002.
  • 8POLKOWSKI L, SKOWRON A. Calculi of granules based on rough set theory: approximate distributed synthesis and granular semantics for computing with words [M]// ZHONG N, SKOWRON A, OHSUGA S. New Directions in Rough sets, Data Mining and Soft-Granular Computing. Springer LNM 1711, Berlin: Springer, 1999:20-28.
  • 9SLOWINSKI R, GRECO S, MATARAZZO B. Rough set analysis of preference-ordered data [ M ]// ALPIGINI J J, et al. Rough Sets and Current Trends in Computing. Springer LNAI 2475, Berlin: Springer, 2002:44-59.
  • 10GRECO S, MATARAZZO B, SLOWINSKI R. A new rough set approach to evaluation of bankruptcy risk [ M]// ZOPOUNIDIS C. Operational Tools in the Managernent of Financial Risk. USA : Kluwer Academic Publishers, 1998 : 121-136.

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