Information Theory has principles that can be used to situations that aren't related to the original motivation. Despite the fact that the applicability of ideas is not always accurate, they are extremely valuable. The noiseless coding theorem, which gives constraints for acceptable encoding of entropies and fuzzy information measures, is one of the best uses of information measure. The lengths of mean codewords and fuzzy mean codewords are defined in this chapter, as well as several generalisations of mean codeword length. The bounds of a generalised fuzzy mean codeword length of degree are examined in terms of a generalised fuzzy information measure. The fuzzy mean codeword length of type (,) is also presented, with its boundaries investigated. By using empirical data, the monotonic behaviour of these fuzzy mean codeword lengths is graphically depicted.
Author (S) Details
D.
S. Hooda
Mathematics,
GJ university of Science and Technology, Hisar-125001, India.
Department of Mathematics, Jaypee University of Engineering and Technology, Guna-473001, India.
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