Dynamic Air Target Threat Assessment Based on Interval-Valued Intuitionistic Fuzzy Sets, Game Theory, and Evidential Reasoning Methodology

Ruojing Zhao,Yongqiang Bai,Linna Ji,Fengbao Yang,Emilio Insfran Pelozo

doi:10.1155/2021/6652706

Abstract

In order to reduce the uncertainty of target threat assessment results and improve exact target assessment in the complicated and changeable air combat environment, a novel method based on the combination of interval-valued intuitionistic fuzzy sets (IVIFSs), game theory, and evidential reasoning methodology is proposed in this paper. First, the imprecise and fuzzy information of battlefield air target is expressed by IVIFS. Second, the optimal index weight is determined by the interval intuitionistic fuzzy entropy and game theory. And the time series weight is calculated by the inverse Poisson distribution method. Then, the target evaluation information at different times is dynamically fused through an evidential reasoning algorithm. Finally, the accuracy function is applied to obtain the threat ranking of all the targets. A case of the threat assessment of air targets is provided to demonstrate the implementation process of the method proposed in this paper. Simulation experiments show that in a rapidly evolving combat environment, this algorithm can effectively reduce the uncertainty of target threat assessment results. It provides us with a useful way for target threat assessment based on interval-valued intuitionistic fuzzy sets, game theory, and evidential reasoning methodology.

Highlights

With the development of weaponry information technology, the battlefield environment becomes more complicated and diversified
To solve the target threat assessment problem, air target threat assessment methods have been proposed. ese methods mainly include Bayesian networks [5,6,7], neural networks [8, 9], rough sets [10], the cloud model [11], and so on [12, 13]. ese methods are suitable for different battlefield environments and have different characteristics
A dynamic air target threat assessment method based on interval intuitionistic fuzzy sets, game theory, and evidence reasoning methods is proposed. e main conclusions are as follows: (1) e proposed method uses interval-valued intuitionistic fuzzy sets (IVIFSs) to construct an intuitionistic-valued fuzzy target information matrix, which can describe the ambiguity and uncertainty of battlefield target information more flexibly, making it more applicable in complex battlefield environments

Summary

Introduction

With the development of weaponry information technology, the battlefield environment becomes more complicated and diversified. How to effectively use battlefield target information to assist commanders in making scientific decisions has always been the focus of battlefield research [1, 2]. Since air combat plays a vital role in the trend of the modern battlefield, the efficient threat assessment of incoming targets can be used as a reference for reasonably allocating defensive firepower [3]. It is very necessary to carry out research on air threat assessment methods since it can provide an effective auxiliary decision-making method for the field of air defense operations. Ese methods are suitable for different battlefield environments and have different characteristics. These methods express the target information by crisp numerical numbers and do not fully consider the fuzziness and uncertainty of battlefield target information

Methods

Discussion

Conclusion