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The amount of information on which researchers work increases continuously due to the new developments around the world. This information contains data that is uncertain, incomplete, and cannot be fully expressed using crisp numbers. To manage such information, the theories of fuzzy sets, intuitionistic fuzzy sets, and neutrosophic sets are used. Neutrosophic sets were introduced as the generalization of fuzzy and intuitionistic fuzzy sets to show incomplete, imprecise, inconsistent, and uncertain information that exists in real situations. In this paper, a generalized neutrosophic divergence measure is proposed along with the proof of its validity, and neutrosophic aggregation operators are discussed. The proposed measure is applied in decision making for simplified neutrosophic sets. An illustrative example is provided to demonstrate the application and effectiveness of the developed approach and to test its practicality and legitimacy.

Novel Generalized Divergence Measure and Aggregation Operators With Applications for Simplified Neutrosophic Sets