Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
