Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/31286
Title: | A Fuzzy Cognitive Map Approach to Investigate the Sustainability of the Social Security System in Jordan | Authors: | SAMMOUR, George AL_GHZAWI, Ahmad VANHOOF, Koen |
Issue Date: | 2020 | Publisher: | SCITEPRESS | Source: | Proceedings of the 22nd International Conference on Enterprise Information Systems, p. 481 -489 | Abstract: | Fuzzy Cognitive Maps are emerging as an important new tool in economic modelling. The aim of this study is to investigates the use of fuzzy cognitive maps with their learning algorithms, based on genetic algorithms, for the purposes of prediction of economic sustainability. A Case study data are extracted from the Jordanian Social Security system for the last 120 months; The Real-Code genetic algorithm and structure optimization algorithm were chosen for their ability to select the most significant relationships between the concepts and to predict future development of the Jordanian social security revenues and expenses. The study shows that fuzzy cognitive maps models clearly predict the future of a complex financial system with incoming and outgoing flows. Therefore, this research confirms the benefits of fuzzy cognitive maps applications as a tool for scholarly researchers, economists and policy makers. | Keywords: | Fuzzy Cognitive Maps;Time Series Prediction;Economic Modelling;Social Security System | Document URI: | http://hdl.handle.net/1942/31286 | ISBN: | 9789897584237 | DOI: | 10.5220/0009128304810489 | ISI #: | 000621581300050 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
Show full item record
WEB OF SCIENCETM
Citations
1
checked on Oct 12, 2024
Page view(s)
88
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.