Knowledge and accuracy measure based on dual-hesitant fuzzy sets with application to pattern recognition and site selection for solar power plant

Dual hesitant fuzzy set (DHFS) is an encyclopedic set that comprises fuzzy set, intuitionistic fuzzy set, and hesitant fuzzy set as its particular cases. Knowledge and accuracy measures in various vague environments are useful to study the problems in decision-making and pattern analysis. In this paper, we first propose a knowledge and accuracy measure based on DHFSs and contrast their performance with some existing measures in the dual-hesitant fuzzy environment. We also show the application of our proposed information measures (knowledge measure and accuracy measure) in solving the problem of site selection for the installation of a solar power plant. In the site selection problem in context of our proposed measures, we also investigate the suitability of an appropriate multiple criteria decision-making method. Finally, we show the application of our proposed dual-hesitant fuzzy accuracy measure in pattern recognition, where we show how our proposed accuracy measure is better than some exiting distance and similarity measures of DHFSs.