A system which mathematically models complex relationships which are usually handled in a vague manner by language. Under the title of "Fuzzy Logic" falls formal fuzzy logic (a multi [..]

Fuzzy logic is a reasoning paradigm that deals with approximate or imprecise information by enabling variables to be described (often linguistically) and acted upon in terms of their degree of members [..]

Internet Glossary A type of logic that recognizes more than simple true and false values. With fuzzy logic, propositions can be represented with degrees of truthfulness and falsehood. For example, the statement, today is sunny, might be 100% true if there are no clouds, 80% true if there are a few clouds, 50% true if it's hazy and 0% true if i [..]

A type of logic that recognizes more than simple true and false values. With fuzzy logic, propositions can be represented with degrees of truthfulness and falsehood. For example, the statement, today [..]

Knowledge representation scheme that is based on logic and founded on the axiom that set membership is based on a probability distribution and not traditional set theory.

The branch of logic that recognizes a possible range of intermediate values between the logical extremes of true and false, similar to the way the human mind evaluates complex situations. Because fuzz [..]

a formal system of reasoning developed by Lotfi Zadeh in which the values “true” and “false” are replaced by numbers on a scale from 0 to 1.

An Artificial intelligence method for representing and reasoning with imprecisely specified knowledge, for example defining loose boundaries to distinguish “low” from “high” values. See also: Qualitat [..]

Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept of partial truth — truth values between completely true and completely false. boolean Fuzzy Logic [..]

A method of deriving precise answers from vague data.

Zadeh's (1965) alternative model of uncertainty where classification is defined by rules that use subjective or approximate values applied to ambiguous objects or concepts, utilized in AI applica [..]

Approximate, quantitative reasoning that is concerned with the Linguistic ambiguity which exists in natural or synthetic Language. At its core are variables such as good, bad, and young as well as mod [..]

Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as mod [..]

Fuzzy logic is a logic operations method based on many-valued logic rather than binary logic (two-valued logic). Two-valued logic often considers 0 to be false and 1 to be true. However, fuzzy logic d [..]

Many statements are not true or false but lie somewhere in between. To assign value to statement, false = 0, true = 1, statement can fall anywhere on the continuum between 0 and 1. Also known as Fuzzy [..]

 an extension of classical Boolean logic that uses Fuzzy sets rather than Boolean sets; is based on rules of the form "if … then …" in which inputs convert outputs--one fuzzy set transforming another.

A system which mathematically models complex relationships which are usually handled in a vague manner by language. Under the title of "Fuzzy Logic" falls formal fuzzy logic (a multi [..]