Modeling of measures with analytic hierarchy process for fuzzy rough set and its application to emergency drill control

A comprehensive measure method for knowledge is proposed based on the analytic hierarchy process (AHP) to tackle the complexity and difficulty in realizing the emergency drill control and finally achieving the effective control for the system which many people participate in. Based on the analysis of features and relationship between measures of fuzzy rough sets, the AHP is employed to build the hierarchy model of fuzzy rules; and a comparison matrix is constructed as an example to illustrate the improvement of measure precision of fuzzy rules. After that, the control process is designed, and the core control algorithm is developed based on the comprehensive measures. Relevant control rules are concluded from the values of measures; and the algorithm for choosing rules from the rule base is proposed. Finally, an emergency drill case in virtual reality validates the practicability of the presented research work.