Research and Application of Warship Multiattribute Threat Assessment Based on Improved TOPSIS Gray Association Analysis

Author:

Zang Dongmei1,Sheng Xinlei1,Wang Liya2,Yang Aimin3,Xue Tao2,Li Jie4

Affiliation:

1. Hebei Key Laboratory of Data Science and Application, The Key Laboratory of Engineering Computing in Tangshan City, College of Science, North China University of Science and Technology, Tangshan, China

2. Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, Hebei Key Laboratory of Data Science and Application, College of Science, North China University of Science and Technology, Tangshan, China

3. Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Tangshan, China & Hebei Key Laboratory of Data Science and Application, North China University of Science and Technology, Tangshan, China & College of Science, North China University of Science and Technology, Tangshan, China

4. Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, Hebei Key Laboratory of Data Science and Application, North China University of Science and Technology, Tangshan, China

Abstract

Multitarget threat evaluation of warship air attacks is one of the most urgent problems in warship defense operations. To evaluate the target threat quickly and accurately, an air attack multitarget threat evaluation method based on improved TOPSIS gray relational analysis is proposed. This method establishes threat assessment system of five attributes of target type, anti-jamming ability, heading angle, altitude, and speed. The weight coefficient of each index of the warship is obtained by combining the entropy weight method with the analytic hierarchy process. Topsis can make full use of the information of the original data, and its results can accurately reflect the gap between various evaluation schemes. The weighted Mahalanobis distance and comprehensive gray correlation between the attribute to be evaluated and the positive and negative ideal states are calculated by the improved TOPSIS gray correlation method. The target threat degree to be evaluated is obtained by combining the two methods. Finally, an example is given to prove the effectiveness of the evaluation model.

Publisher

IGI Global

Subject

Software

Reference14 articles.

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3. Geng, T., Zhang, A., & Hao, X. G. (2011). Multi-target threat assessment in air combat based on combination determining weights TOPSIS. Huoli yu Zhihui Kongzhi, 36(3), 16-19.

4. The use of grey relational analysis in solving multiple attribute decision-making problems

5. Improved TOPSIS based on projection method and angle measure evaluation method.;M.Li;Journal of Systems Science and Mathematical Sciences,2020

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