Transcendental intuitionistic fuzzy information measures

Abstract

The objective of the thesis entitled Transcendental Intuitionistic Fuzzy Information newlineMeasures is to study new fuzzy information distance measures intuitionistic newlinefuzzy information similarity measures and their applications in various newlinefield of science and engineering like image processing decision making statistics newlineetc Fuzzy sets initiated provide a malleable framework for newlinehandling the uncertain conditions containing ambiguity and vagueness Vague newlineor fuzzy data and applications in several fields such as reliability marketing newlinequality control ergonomics image recognition artificial intelligence etc A typical newlinequandary where vague data arise is that of assigning numbers to subjective newlineperceptions or to linguistic variables such as enough good \sufficiently etc newline newlineIn fact there are many cases where observations cannot be known or quantified exactly and thus we can only provide an approximate description of them or intervals to enclose them also if a system under consideration is not governed by random variables and/or crisp observations but it is governed by possibility variables and or imprecise observations But fuzzy sets do not handle the situation newlinewhere the vague incomplete uncertain information involves some degree of newlinehesitation Hesitancy mainly arises from the imprecise and or imperfect nature newlineof information newline newline