Fuzzy Cognitive Map vs Regression

A fuzzy cognitive map is considered as an alternative to regression analysis, i.e., tools for modeling the inputs-output dependence based on expert-experimental information. To calculate the output value at the given input values, increments of variables are used. The optimal values of the weights o...

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Bibliographic Details
Published inCybernetics and systems analysis Vol. 57; no. 4; pp. 605 - 616
Main Authors Rotshtein, A. P., Katielnikov, D. I.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.07.2021
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Cognitive maps
Cognitive models
Control
Genetic algorithms
Mathematics
Mathematics and Statistics
Processor Architectures
Regression analysis
Software Engineering/Programming and Operating Systems
Systems Theory
genetic algorithm
approximation
tuning
fuzzy cognitive map
regression
unknown parameters
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Summary:A fuzzy cognitive map is considered as an alternative to regression analysis, i.e., tools for modeling the inputs-output dependence based on expert-experimental information. To calculate the output value at the 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 the observed output values.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-021-00385-3