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 multi-criterial approach to solving of optimization problem of construction of interval and fuzzy information granules. Validity of the proposed approach is proved by numerical examples.
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Aliev, R.A; Huseynov, O.H; and Adilova, Nigar E.
"Multi-criterial optimization of information granules in fuzzy If-Then rules.,"
Chemical Technology, Control and Management: Vol. 2018
, Article 1.
Available at: https://uzjournals.edu.uz/ijctcm/vol2018/iss3/1