Compound multi-attribute decision-making for selecting power based on intuitionist fuzzy sets and rough sets

Based on the characteristics of equipment maintenance power, aiming at optimizing the collocation for power, combining with rough sets and multi-attribute group decision-making, intuitionist fuzzy sets (IFS) are introduced to manage compound data, and the knowledge system model based on IFS multi-attribute rough sets (RS) group decision-making is established. An induced-intuitionistic fuzzy ordered weighted averaging operator (I-IFOWA) is used for information fusion, the score function based on cross entropy is defined, and the evaluated result is used to construct the decision table. The improved RS and information entropy method are adopted to obtain the attribute power, and the maintenance power is evaluated and ranked by integrative value. The result of an example is in accordance with the fact, and the optimized sequence provides technique support for decision-making.