Abstract
Abstract: In 1965, Lotfi Zadeh created fuzzy logic as a development of Boolean logic in light of the numerical hypothesis of fuzzy sets, which is a speculation of conventional set hypothesis. Fuzzy logic offers a great deal of adaptability for exploiting reasoning, adding an idea of degree when checking states and allowing states to be other than obvious or misleading. , taking into account possible errors and weaknesses. We begin by giving a brief overview of fuzzy logic before talking about its application to artificial and computational intelligence. Then, with a focus on fuzzy expert systems, we discuss cutting-edge applications of fuzzy logic, with one representative example being thoroughly examined. The article's conclusion makes recommendations for how fuzzy logic and artificial intelligence might complement one another. We focus our endeavors on few plainly characterized sub-spaces of artificial intelligence, staying away from scattering, and keeping a good arrangement between essential examination and applications.
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