Hierarchical fuzzy relational models: linguistic interpretation and universal approximation

Campello, Ricardo, and Amaral, Wagner Caradori do (2006) Hierarchical fuzzy relational models: linguistic interpretation and universal approximation. IEEE Transactions on Fuzzy Systems, 14 (3). pp. 446-453.

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Hierarchical fuzzy structures composed of a series of sub-models connected in cascade have been found to be effective tools for dealing with the dimensionality problem in fuzzy systems. This paper addresses both the issues of linguistic interpretation and universal approximation of systems using hierarchical fuzzy models. Fuzzy relational equations are used to implement the sub-models of a hierarchical structure that has two very important properties: i) it can be converted into a completely equivalent nonhierarchical model, which in turn allows the extraction of linguistic knowledge in the form of consistent fuzzy IF-THEN rules; and ii) it is a universal approximator. These properties are analytically derived and the proposed model is illustrated by means of an example.

Item ID: 47073
Item Type: Article (Research - C1)
ISSN: 1941-0034
Keywords: dimensionality reduction, fuzzy relational structures, hierarchical fuzzy models, linguistic interpretation, universal approximation
Date Deposited: 04 Jan 2017 08:04
FoR Codes: 01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
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