Title :
Methods for Situation Assessment of Multi-attribute Decision Making Based on Rough Sets
Author :
Wang, Xiaofan ; Wang, Baoshu
Author_Institution :
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
Abstract :
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.
Keywords :
command and control systems; decision making; military systems; rough set theory; attacking condition; command system; decision making rule; decision-making rule; discernibility function; informational system; knowledge reduction; multiattribute decision making; rough set; situation assessment; warfare; Bayesian methods; Character generation; Character recognition; Computer science; Decision making; Employment; Fuzzy systems; Rough sets; Statistical analysis; Statistical distributions; decision-making table; multi-attribute decision making; rough sets; situation assessment;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.142
