Divergence Models in Fuzzy Environment and Their Solicitations for the Development of Fuzzy Information Improvement Models

The literature of information theory is self-possessed with various information theoretic models including entropy, directed divergence, inaccuracy, and information improvement models in probabilistic as well as fuzzy environment. Each of these models is incredibly imperative from application point of view and participates a vital accountability toward optimization problems in possibility as well as fuzzy spaces. Here, we have advocated a new-fangled discrete divergence model and certain original information improvement models in fuzzy environments and studied their wide-ranging possessions for ascertaining their acceptability.