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Multicriterial optimization of information granules in fuzzy If-Then rules.

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Investigation of trade-off between characteristics of information granules for construction of fuzzy rule-based model is challenging scientific problem. Main optimization requirement in information granules estimation (antecedent and consequent parts of fuzzy rules) are cardinality which characterizes justifiability (reliability) of information granules in light of the available experimental data and specificity that characterizes semantics of information granules. This paper is devoted to a multicriterial approach to solving of optimization problem of construction of interval and fuzzy information granules. Validity of the proposed approach is proved by numerical examples.

MUALLIFLAR

A.Aliyev

Azerbaijan State Oil and Industry University

H.Huseynov

Azerbaijan State Oil and Industry University

E.Adilova

Azerbaijan State Oil and Industry University

Teglar

# specificity# interval# information granularity# cardinality# triangular fuzzy number

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https://eroi.uz/11.0008/A0120-0040

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Foydalanilgan adabiyotlar

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