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Fuzzy relation information


Cartesian Product

A fuzzy relation is the cartesian product of mathematical fuzzy sets.[1] Two fuzzy sets are taken as input, the fuzzy relation is then equal to the cross product of the sets which is created by vector multiplication. Usually, a rule base is stored in a matrix notation which allows the fuzzy controller to update its internal values.[2][3]

From a historical perspective, the first fuzzy relation was mentioned in the year 1971 by Lotfi A. Zadeh.[4]

A practical approach to describe a fuzzy relation is based on a 2d table. At first, a table is created which consists of fuzzy values from 0..1. The next step is to apply the if-then-rules to the values. The resulting numbers are stored in the table as an array.

Fuzzy relations can be utilized in fuzzy databases.[5]

  1. ^ Timothy J. Ross (8 April 2005). Fuzzy Logic with Engineering Applications. John Wiley & Sons. pp. 59–. ISBN 978-0-470-86076-2.
  2. ^ Galindo, Jos (31 May 2008). Handbook of Research on Fuzzy Information Processing in Databases. IGI Global. pp. 17–. ISBN 978-1-59904-854-3.
  3. ^ Witold Pedrycz (31 March 1996). Fuzzy Modelling: Paradigms and Practice. Springer Science & Business Media. pp. 39–. ISBN 978-0-7923-9703-8.
  4. ^ Witold Pedrycz; Fernando Gomide (12 October 2007). Fuzzy Systems Engineering: Toward Human-Centric Computing. John Wiley & Sons. pp. 156–. ISBN 978-0-470-16895-0.
  5. ^ Zongmin Ma (30 March 2006). Fuzzy Database Modeling with XML. Springer Science & Business Media. p. 97–. ISBN 978-0-387-24249-1.

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Fuzzy relation

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mathematics, an equivalence relation is a binary relation that is reflexive, symmetric and transitive. The equipollence relation between line segments in...

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Binary relation

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phrased as "a relation on X" or "a (binary) relation over X". An example of a homogeneous relation is the relation of kinship, where the relation is between...

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micro-PROLOG [es] of Logic Programming Associates and adds support for fuzzy sets, support logic, and metaprogramming. Fril was originally developed...

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entailment: (1) The logical consequence relation relies on the logical form of the sentences: (2) The relation is a priori, i.e., it can be determined...

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heap, and enough slight changes will certify the group's heap status – see fuzzy logic. One may object to the first premise by denying that 1,000,000 grains...

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function to describe the function that indicates membership in a set. In fuzzy logic and modern many-valued logic, predicates are the characteristic functions...

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Bijection

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element of the first set (the domain). Equivalently, a bijection is a relation between two sets such that each element of either set is paired with exactly...

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Truth value

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truth value, sometimes called a logical value, is a value indicating the relation of a proposition to truth, which in classical logic has only two possible...

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Set theory

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membership relation. These include rough set theory and fuzzy set theory, in which the value of an atomic formula embodying the membership relation is not...

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Arity

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the number of arguments or operands taken by a function, operation or relation. In mathematics, arity may also be called rank, but this word can have...

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Decision table

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modelling using fuzzy decision tables". New frontiers in fuzzy logic and computing: 1996 biennial conference of the North American Fuzzy Information Processing...

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