Methods for situation assessment of multi-attribute decision making based on rough sets

  • Authors:

  • Xiaofan Wang;Baoshu Wang

  • Affiliations:

  • School of Computer Science and Technology, Xidian University, School of Computer Science and Technology, Xian University of Technology, Xi'an, China;School of Computer Science and Technology, Xidian University, Xi'an, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
  • Year:
  • 2009

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Abstract

As situation assessment in the warfare involves abundant, uncertain and redundant information, this paper presents a method for situation assessment of multiattribute decision making based on rough sets. First, it proposes a discernibility function and improves the knowledge reduction algorithm, thus improves the efficiency; Furthermore, a model for situation assessment of multi-attribute decision making based on rough sets is established to simplify the given informational system and form decision-making rules. Finally, a case of attacking the enemy in the war is studied through the models so that decision making rules are deduced; then proper attacking conditions are obtained.