Designing a Battlefield Fire Support System Using Adaptive Neuro-Fuzzy Inference System Based Model

Defence Science Journal

Kerim Goztepe¹ 

[1] Army War College, Yenilevent-34330, İstanbul, Turkey

关键词: Fire support;    adaptive neuro-fuzzy inference system;    ANFIS;    fuzzy logic;    neural network;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

Fire support of the maneuver operation is a continuous process. It begins with the receiving the task by the maneuver commander and continues until the mission is completed. Yet it is a key issue in combat in the way gain success. Therefore, a real-time mannered solution to fire support problem is a vital component of tactical warfare to the sequence that auxiliary forces or logistic support arrives at the theatre. A new method for deciding on combat fire support is proposed using adaptive neuro-fuzzy inference system (ANFIS) in this paper. This study addresses the design of an ANFIS as an efficient tool for real-time decision-making in order to produce the best fire support plan in battlefield. Initially, criteria that are determined for the problem are formed by applying ANFIS method. Then, the ANFIS structure is built up by using the data related to selected criteria. The proposed method is illustrated by a sample fire support planning in combat. Results showed us that ANFIS is valid especially for small unit fire support planning and is useful to decrease the decision time in battlefield. Defence Science Journal, 2013, 63(5), pp.497-501 , DOI:http://dx.doi.org/10.14429/dsj.63.3716

【 授权许可】

Unknown