Air targets threat assessment based on fuzzy rough reasoning

Author

Yanli Lu ; Yanan Wang ; Yingjie Lei ; Yi Wang

Author_Institution

Air & Missile Defense Inst., Air Force Eng. Univ., Xi´an, China

fYear

2015

fDate

23-25 May 2015

Firstpage

885

Lastpage

890

Abstract

Threat assessment (TA) is an important foundation for weapons allocation in air defense operations. A reasoning system for TA is investigated based on fuzzy rough sets. Firstly, the relationships between fuzzy approximation operators and fuzzy reasoning are analyzed as well as the signification of lower and upper approximate reasoning. Then, a model of TA based on fuzzy rough reasoning (FRR) is built and the algorithms in multidimensional and multiple modes are investigated. Finally, the validity of the proposed technique is checked through simulation instance with 10 typical air targets.

Keywords

fuzzy reasoning; fuzzy set theory; rough set theory; weapons; FRR; TA model; air defense operations; air targets threat assessment; fuzzy approximation operators; fuzzy rough reasoning; fuzzy rough sets; lower approximate reasoning; reasoning system; upper approximate reasoning; weapons allocation; Approximation methods; Atmospheric modeling; Cognition; Fuzzy logic; Fuzzy reasoning; Rough sets; Fuzzy Sets; Reasoning Algorithms; Rough Sets; Threat Assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2015 27th Chinese

Conference_Location

Qingdao

Print_ISBN

978-1-4799-7016-2

Type

conf

DOI

10.1109/CCDC.2015.7162044

Filename

7162044