Abstract
In this communication, we propose a generalized fuzzy knowledge measure and prove its efficiency by comparing it with some existing entropies. We also propose a generalized fuzzy accuracy measure and show some of its properties. This accuracy measure may serve as a compatibility measure between two fuzzy sets and helpful in some specific situations. We introduce a generalized fuzzy knowledge and accuracy measure-based TOPSIS for multiple-attribute decision-making problems and presents its comparison with MOORA method, VIKOR method, and a compromise-type variable weight decision-making method. The application of the proposed TOPSIS approach in multiple-attribute decision-making (MADM) is demonstrated using a numerical example. We also investigate the application and efficiency of the generalized fuzzy accuracy in pattern recognition problems.
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