An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction

Mousavi, Seyed Muhammad Hossein; MiriNezhad, S. Younes; Lyashenko, V.

Публікація:
An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction

dc.contributor.author	Mousavi, Seyed Muhammad Hossein
dc.contributor.author	MiriNezhad, S. Younes
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2020-05-18T12:47:06Z
dc.date.available	2020-05-18T12:47:06Z
dc.date.issued	2017
dc.description.abstract	Due to the growth of divorce rate in developed and developing countries, and with the aim of reducing this phenomenon, an evolutionary-based Adaptive Neuro-Fuzzy Expert System as a family counselor before marriage is developed. The main goal is to combine evolutionary algorithms with fuzzy logic, and inferring nature inspired results for this kind of natural event (divorce). For validating results, a dataset from a human expert (marriage counselor) has been received, which described thoroughly in section IV in details. This dataset has been trained and tested with different Meta-heuristic optimization algorithms like (ACO, DE, PSO and GA) and neural network training methods like (Hybrid and back-propagation). Error factors like (MSE, RMSE, Error Mean and Error STD) will be calculate for each one of these approaches as validation results. Also, classification results with MLP algorithm, made this paper more detailed. Validation processes returned promising results and opened a way to use this kind of counselor expert system in the absence of human expert conditions. Dream to day which all the children grow up with their original parents.	uk_UA
dc.identifier.citation	Mousavi S. M. H., MiriNezhad S. Y., Lyashenko V. An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction // Conference: 2nd International Conference on Research Knowledge Base in Computer Engineering and IT, At Tehran-Iran. – 2017. – P. 1-10.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/11745
dc.language.iso	en	uk_UA
dc.subject	Evolutionary Algorithm	uk_UA
dc.subject	Evolutionary Learning	uk_UA
dc.subject	Fuzzy	uk_UA
dc.subject	Expert System	uk_UA
dc.title	An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication