Non-Probabilistic Measures and Their Applications to Coding Theory (Paperback)

The present book highlights developments of new measures of fuzzy information and finds their applications for the study of maximum entropy principle and the development of new codeword lengths. The main objective of the book is to provide the knowledge of non-probabilistic measures and will be helpful in disseminating knowledge to the benefit of Information Theoreticians, Statisticians, Computer Scientists and Operational Researchers. The book presents new findings which will add to the knowledge of the scientific community for their future research.