Pessimistic rough set based decisions: A multigranulation fusion strategy

  • Authors:

  • Yuhua Qian;Shunyong Li;Jiye Liang;Zhongzhi Shi;Feng Wang

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2014

Quantified Score

Hi-index 0.07

Visualization

Abstract

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.