Whats the meaning of fuzzy logic?
A form of algebra employing a range of values from “true” to “false” that is used in decision-making with imprecise data, as in artificial intelligence systems. A mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yes-no decisions, fuzzy logic works with ranges of values, solving problems in a way that more resembles human logic. Fuzzy logic is used for solving problems with expert systems and real-time systems that must react to an imperfect environment of highly variable, volatile or unpredictable conditions. It “smoothes the edges” so to speak, circumventing abrupt changes in operation that could result from relying on traditional either-or and all-or-nothing logic. Logic based on the concept of fuzzy sets, in which membership is expressed in varying probabilities or degrees of truth — that is, as a continuum of values ranging from 0 (does not occur)