Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/85490
Or use following links to share this resource in social networks: Recommend this item
Title Neuro-Genetic Hybrid System for Management of Organizational Development Measures
Authors Vasylieva, Tetiana Anatoliivna  
Skrynnyk, O.
ORCID http://orcid.org/0000-0003-0635-7978
Keywords neuro-genetic hybrid system
organizational development
fuzzy logic
нейро-генетична гібридна система
нейро-генетическая гибридная система
організаційний розвиток
организационное развитие
нечітка логіка
нечеткая логика
Type Conference Papers
Date of Issue 2020
URI https://essuir.sumdu.edu.ua/handle/123456789/85490
Publisher RWTH Aachen University
License Creative Commons Attribution 4.0 International License
Citation Vasylieva T., Skrynnyk O., Neuro-Genetic Hybrid System for Management of Organizational Development Measures. ICTERI 2020: ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. 2020. Vol. 2732. Proceedings of the 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops Kharkiv, Ukraine, October 06-10, 2020.
Abstract Current practical experience in measuring the effectiveness of organizational development activities is largely based on the evaluation of surveys. In this paper we present an approach based on an artificial neural network with elements of a fuzzy approach and a genetic algorithm to control organizational development. Based on genetic algorithms, the organizational development measures are initiated, selected, combined or mutated with the goal of finding the best possible solution for each concrete case. Since many variables have the uncertain set of their values, the use of a hybrid neuro-fuzzy mechanism makes it possible to analyze the behavioral components up to the combinations of needs and thereby select the appropriate organizational development measures. The system is designed to ensure the long-term effectiveness of organizational development measures. We supplement the previously known measures of organizational development with technology-based in order to increase the degree of automation in practice. This article is intended as an orientation for other scientists who are researching the same topic and are interested in the current state of the art, as well as for companies who want to ensure compliance with internal company rules using digital tools.
Appears in Collections: Наукові видання (ННІ БіЕМ)

Views

Australia Australia
1485976134
Austria Austria
1
Azerbaijan Azerbaijan
1
Bangladesh Bangladesh
1
China China
-1232451321
Czechia Czechia
1
Egypt Egypt
-1427841096
Ethiopia Ethiopia
1
Germany Germany
1511631363
Ghana Ghana
-1498684109
Hungary Hungary
1
India India
-1215059144
Indonesia Indonesia
1485976145
Iran Iran
61975573
Iraq Iraq
1
Ireland Ireland
4182484
Israel Israel
1485976138
Italy Italy
1
Japan Japan
1
Kenya Kenya
1
Lithuania Lithuania
1
Malaysia Malaysia
58030
Mexico Mexico
1
Netherlands Netherlands
1201478044
Pakistan Pakistan
1
Palestinian Territories Palestinian Territories
1
Peru Peru
141112
Philippines Philippines
1
Romania Romania
1
Saudi Arabia Saudi Arabia
1
Singapore Singapore
567249939
South Africa South Africa
1
Taiwan Taiwan
1
Thailand Thailand
1
Turkey Turkey
567249936
Ukraine Ukraine
399206100
United Kingdom United Kingdom
190118447
United States United States
1511631364
Unknown Country Unknown Country
144150514
Vietnam Vietnam
502

Downloads

Austria Austria
1
Azerbaijan Azerbaijan
1
Bangladesh Bangladesh
-749468513
Czechia Czechia
1
Egypt Egypt
1
France France
1
Germany Germany
1
India India
399206093
Indonesia Indonesia
1
Iran Iran
1
Iraq Iraq
187985429
Ireland Ireland
1
Lithuania Lithuania
2167409
Malaysia Malaysia
174392
Pakistan Pakistan
144150510
Philippines Philippines
1
Singapore Singapore
567249940
Thailand Thailand
399206091
Turkey Turkey
1
Ukraine Ukraine
399206101
United Kingdom United Kingdom
815063326
United States United States
567249937
Unknown Country Unknown Country
144150515
Vietnam Vietnam
2167410
Yemen Yemen
1

Files

File Size Format Downloads
Vasilyeva_neuro-genetic.pdf 637.39 kB Adobe PDF -1416458644

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.