4.7 Article

Pessimistic rough set based decisions: A multigranulation fusion strategy

期刊

INFORMATION SCIENCES
卷 264, 期 -, 页码 196-210

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2013.12.014

关键词

Rough set; Granular computing; Multigranulation; Pessimistic rough set based decision; Attribute reduction

资金

  1. National Natural Science Fund of China [71031006, 61035003]
  2. National Key Basic Research and Development Program of China (973) [2013CB329404, 2013CB329502]
  3. Program for New Century Excellent Talents in University
  4. Research Fund for the Doctoral Program of Higher Education [20121401110013]
  5. Shanxi Scholarship Council of China [201008]
  6. Program for the Innovative Talents of Higher Learning Institutions of Shanxi, China [20120301]

向作者/读者索取更多资源

Multigranulation rough sets (MGRS) is one of desirable directions in rough set theory, in which lower/upper approximations are approximated by granular structures induced by multiple binary relations. It provides a new perspective for decision making analysis based on rough set theory. In decision making analysis, people often adopt the decision strategy Seeking common ground while eliminating differences (SCED). This strategy implies that one reserves common decisions while deleting inconsistent decisions. From this point of view, the objective of this study is to develop a new multigranulation rough set based decision model based on SCED strategy, called pessimistic multigranulation rough sets. We study this model from three aspects, which are lower/upper approximation and their properties, decision rules and attribute reduction, in this paper. (C) 2013 Published by Elsevier Inc.

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