GIS-Based Missile Target Assignment Intelligent Decision Support System

Author

Yang, Fei ; Dong, Chaoyang ; Wang, Qing

Author_Institution

Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China

Volume

2

fYear

2009

fDate

24-26 April 2009

Firstpage

240

Lastpage

243

Abstract

This paper introduces geography information system (GIS) into intelligent decision support system (IDSS) and proposes a 4 database and 1 machine frame model. On this basis we design the target assignment intelligent decision support system (TAIDSS), realize the close combination of IDSS, GIS and decision-making model, then we propose an intelligent target assignment decision model which contains knowledge base subsystem, the model is divided into two layers, we consider both the overall interests of battle fleet and the specific condition of firepower unit. We adopt principles of reasoning machine to carry out expression and process of expert knowledge, thus improve the process and quality of decision-making. Simulation shows the model has fast calculation speed and reasonable result, can satisfy dynamic battlefield environment and real-time demand.

Keywords

aerospace computing; decision making; decision support systems; geographic information systems; knowledge based systems; military computing; military systems; missiles; GIS-based missile target assignment intelligent decision support system; battle fleet; battlefield environment; decision making model; firepower unit; geography information system; intelligent target assignment decision model; knowledge base subsystem; military expert knowledge; reasoning machine; Databases; Decision support systems; Electromagnetic modeling; Geographic Information Systems; Geography; Information systems; Intelligent systems; Machine intelligence; Missiles; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3605-7

Type

conf

DOI

10.1109/CSO.2009.144

Filename

5193941