Some generalized information theoretic measures based upon probability distributions

Shannon entropy is the key concept in the literature of information theory and has found wide applications in different disciplines of science and technology. The various researchers have generalized this entropy measure with different approaches. The object of the present paper is to stress the importance of the property of concavity. Thus based mainly on the postulate of concavity of entropy function, we have introduced and investigated two new generalized measures of probabilistic entropy and studied their important and interesting properties.