A Decision-making Method for Weapon Demonstration Based on Fuzzy Theory and Bayesian Rough Sets
Yongqin Sun, Ling-Yan Wu, Zong-Ye Li, Jian Chao Zeng · 2019
A decision-making method based on fuzzy theory and Bayesian Rough sets is advanced according to the characteristics of weapon argumentation decision-making. First of all, the decision-making model is established, the comprehensive operational efficiency, cost, cycle and risk are chosen as decision-making factors, and also the evidence theory and the cloud model theory are used to optimize the comprehensive operational efficiency factor. Next, there is the redundancy problem in decision-making factors, so, Bayesian Rough sets is introduced to solve this problem. Simultaneously, there is the relation problem in decision-making factors, therefore, fuzzy measure theory is applied to obtain the weight of each decision-making factor. What's more, Choquet fuzzy integral was used to synthesize all the decision-making factors, then the ultima decision-making result is achieved. Finally, the simulation is carried out, and simulation results show that the method is reasonable and effective.