Fuzzy logic is a form of multi-valued logic in which variable truth values can be any real number between 0 and 1 inclusive of both. It is used to handle the concept of partial truth, where the value of truth can range from complete true to complete false. In Boolean logic, on the other hand, the value of truth of variables can be only integer values 0 or 1. The term "fuzzy logic" was introduced with Lotfi Zadeh 's 1965 Fuzzy set theory proposal. Since the 1920s, however, Fuzzy logic had been studied as an infinite-valued logic notably by Lotfi Zadeh and Tarski. Fuzzy logic is based on the observation that people make decisions based on information that is imprecise and not numerical. Fuzzy models or sets are mathematical means of representing vagueness and imprecise (hence the term fuzzy) knowledge. These models are able to recognize, represent, manipulate, interpret and use vague and uncertain data and information.
Opinion Article: Journal of Applied & Computational Mathematics
Opinion Article: Journal of Applied & Computational Mathematics
Research Article: Journal of Applied & Computational Mathematics
Research Article: Journal of Applied & Computational Mathematics
Review Article: Journal of Applied & Computational Mathematics
Review Article: Journal of Applied & Computational Mathematics
Mini Review: Journal of Applied & Computational Mathematics
Mini Review: Journal of Applied & Computational Mathematics
Scientific Tracks Abstracts: Journal of Applied & Computational Mathematics
Scientific Tracks Abstracts: Journal of Applied & Computational Mathematics
Accepted Abstracts: Journal of Biometrics & Biostatistics
Accepted Abstracts: Journal of Biometrics & Biostatistics
Scientific Tracks Abstracts: Journal of Mass Communication & Journalism
Scientific Tracks Abstracts: Journal of Mass Communication & Journalism
Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report