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International Theoretical Science Journal
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UDC 681.5.015:007
A.P. Rotshtein1, D.I. Katielnikov2


1 Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine; Jerusalem College of Technology, Machon Lev, Israel

rothstei@g.jct.ac.il

2 Vinnytsia National Technical University

fuzzy2dik@gmail.com

FUZZY COGNITIVE MAP VS REGRESSION

Abstract. Fuzzy cognitive map (FCM) is considered as an alternative to regression analysis, i.e., apparatus for modeling the inputs-output dependence based on expert-experimental information. To calculate the output value at given input values, increments of variables are used. The optimal values of the weights of the arcs are found using the genetic algorithm in which the chromosomes are generated from the intervals of their feasible values and the selection criterion is the sum of the squared deviations between the model and observed output values.

Keywords: fuzzy cognitive map, regression, approximation, unknown parameters, tuning, genetic algorithm.



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