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

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

347

Lastpage

351

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-180-9

Type

conf

DOI

10.1109/FSKD.2011.6019573

Filename

6019573