Fuzzy Logic - IEEE Conferences, Publications, and Resources.
The aim of this paper is to do the comparative study of. In this paper, performance analysis of proportional derivative, conventional PID controller and fuzzy logic controller has been done by the use of MATLAB and simulink and in the end comparison of various time domain parameter is done to prove that the fuzzy logic controller has small overshoot and fast response as compared to PID.
This paper presents a systematic review of the literature and the classification of fuzzy logic application in an infectious disease. Although the emergence of infectious diseases and their subsequent spread have a significant impact on global health and economics, a comprehensive literature evaluation of this topic has yet to be carried out. Thus, the current study encompasses the first.
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Fuzzy logic is based on the standard form of right or wrong, realism rather than modern computers based (1 or 0) Boolean logic calculations. In 1960, Dr. Lotfi Zadeh of the University of California, Berkeley, has proposed the idea of fuzzy logic. Dr. Zadeh has studied the problem of understanding of natural language. Natural language (like most other life activities or even the universe) is.
Fuzzy or “multi-valued” logic is a variation of traditional logic in which there are many (sometimes infinitely many) possible truth values for a statement. True is considered equal to a truth value of 1, false is a truth value of 0, and the real numbers between 1 and 0 are intermediate values.
In this paper, we will take advantage of the data complexity metrics in order to design a fuzzy metaclassifier. The final goal is to create decision rules based on the inner characteristics of the data to apply a different version of the fuzzy classifier for a given problem. To do so, we will make use of the FARC-HD classifier, an evolutionary fuzzy system that has led to different extensions.
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