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Methods for Situation Assessment of Multi-attribute Decision Making Based on Rough Sets

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2 Author(s)
Xiaofan Wang ; Sch. of Comput. Sci. & Technol., Xidian Univ., Xi''an, China ; Baoshu Wang

As situation assessment in the warfare involves abundant, uncertain and redundant information, this paper presents a method for situation assessment of multi-attribute 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.

Published in:

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:6 )

Date of Conference:

14-16 Aug. 2009