Title :
Techniques for situation assessment based on rough set
Author :
Xiaofan Wang ; Baoshu Wang
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 model for situation assessment based on rough set. It is the most advantage of the new model that the efficiency of situation assessment is increased. First, a new algorithm of value reduction is put forward and proved to be correct which is based on attribute-value-tree; Furthermore, a model for situation assessment of decision making based on rough sets is established to simplify the given informational system and find decision-making rules. Finally, a case of attacking the enemy in the war is studied through the model so that decision making rules are deduced, and the proper attacking conditions are obtained.
Keywords :
decision making; rough set theory; trees (mathematics); value engineering; attribute value tree; decision making rules; informational system; redundant information; rough set; situation assessment; uncertain information; value reduction; warfare; Algorithm design and analysis; Cognition; Complexity theory; Computer science; Decision making; Educational institutions; Weapons; attribute-value-tree; reduct; rough set; situation assessment;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019573
