Evaluation Model of Combat Effectiveness Based on MAS

2015 ◽  
Vol 734 ◽  
pp. 443-446
Author(s):  
Bo Zhang ◽  
Da Wei Zhao ◽  
Xue Zhao

This paper presents ideas that using the complex system theory to achieve combat effectiveness evaluation, and constructs an combat agent model and a potential field theory model, then take an example to accomplish the combat effectiveness evaluation based on multi-agent.

2011 ◽  
Vol 204-210 ◽  
pp. 1697-1700 ◽  
Author(s):  
Yu Jie Zheng

Radar EW system combat effectiveness evaluation is a essential link to Radar system Demonstration, mainly give service to selection, optimization and key factors analysis of Weapon equipment scheme. In this paper, we introduce the Bayesian network model into the area of Radar EW system combat effectiveness evaluation and put forward the concept of combat effectiveness evaluation model based on Bayesian network. The ability to express complex relationship, the ability to express the uncertainty of probability, and the reasoning functions. By learning from Expertise and Simulation data, excavating the hidden knowledge included in both of them, we can build the combat efficiency Analysis model, and then carry out efficient analysis.


2014 ◽  
Vol 912-914 ◽  
pp. 1702-1705
Author(s):  
Xue Zheng Zhu ◽  
Dong Kuang ◽  
Jin Gu ◽  
Kun Lin Nie

During the combat effectiveness evaluation,some problems such as the precise number,interval number and the language fuzzy number exist in the evaluation values.To solve these problems,this paper introduces the interval number and grey decision making principle and brings forward a operational effectiveness evaluation model based on the interval number and grey decision making.This model can truly reflect the comprehensive evaluation value of the weapon equipment operational effectiveness.


2014 ◽  
Vol 36 (5) ◽  
pp. 1115-1124 ◽  
Author(s):  
Wei-Jin JIANG ◽  
Luo ZHONG ◽  
Lian-Mei ZHANG ◽  
De-Jia SHI

2009 ◽  
Vol 29 (2) ◽  
pp. 412-415
Author(s):  
Qiang LU ◽  
Ming CHEN ◽  
Zhi-guang WANG

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.


Author(s):  
Antti J. Harju ◽  
Jouko Mickelsson

AbstractTwisted K-theory on a manifold X, with twisting in the 3rd integral cohomology, is discussed in the case when X is a product of a circle and a manifold M. The twist is assumed to be decomposable as a cup product of the basic integral one form on and an integral class in H2(M,ℤ). This case was studied some time ago by V. Mathai, R. Melrose, and I.M. Singer. Our aim is to give an explicit construction for the twisted K-theory classes using a quantum field theory model, in the same spirit as the supersymmetric Wess-Zumino-Witten model is used for constructing (equivariant) twisted K-theory classes on compact Lie groups.


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