On Generalized Fuzzy Mean Code Word Lengths

Abstract

Abstract:In present communication, a generalized fuzzy mean code word length of degree β has been defined and its bounds in the term of generalized fuzzy information measure have been studied. Further we have defined the fuzzy mean code word length of type α, β and its bounds have also been studied. Monotonic behavior of these fuzzy mean code word lengths have been illustrated graphically by taking some empirical data.

Novel entropy and distance measures of linguistic interval-valued q-Rung orthopair fuzzy sets

“…In order to deal with the fuzziness measurement between FSs, De Luca and termini [14] gave an axiomatic definition of fuzzy entropy based on Shannon [15]. Since then, Hooda et al [16,17], Mishra et al [18][19][20][21], Pal [22] have studied various entropy measures of FSs. Burillo and Bustance [23] defined the intuitionistic fuzzy entropy to measure the hesitation degree of intuitionistic fuzzy sets.…”

On Exponential Fuzzy Measures of Information and Discrimination

“…[27] developed trigonometric and tangent inverse trigonometric fuzzy information measures and applied these measures in strategic decision making. [28] proposed the fuzzy mean code word lengths of degree β and type (α, β) and discussed the behaviour of the proposed fuzzy mean code word lengths. In the present paper, we introduce two new exponential fuzzy information measures and study their validity in section 2.…”