Generalized Parametric Fuzzy Divergence Model Based on Single Valued Neutrosophic Sets

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Pankaj Kaushal, Vikramjeet Singh, Om Parkash, Rakesh Kumar


In diverse real-life decision-making problems, the divergence models establish informative measures in conducting impreciseness and improbability surrounded by various factors of the decision-making process. This eagerness encourages one to instigate new fuzzy divergence models in convincing flexibility in assorted disciplines. The present communication is an accurate footstep in the direction of shaping a single-valued generalized neutrosophic parametric fuzzy divergence model and complete examination of its wide-ranging properties.

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