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Fuzzy inference modeling methodology for the simulation of population growth
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 2, Issue 1 (31 Jan. 2005), pp.75-86, 12 p.
Publisher
Publication Date
2005-01-31
Country of Publication
Jordan
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper presents the use of fuzzy inference to provide a viable modeling and simulation methodology for the estimation of population growth in any country or region.
The study is motivated by the classical complex and time-consuming growth modeling and prediction methods.
The related design issues are presented and the fuzzy inference model for population growth is derived.
The human social and economic factors which affect the growth and which underly the parameters used in the classical population projection methods are fuzzified.
They are then used as inputs to a fuzzy population growth model based on fuzzy inferences so as the population growth rate is evaluated.
The fuzzy population model is simulated using an existing CAD tool for fuzzy inference which has been developed and described elsewhere by the authors.
The results obtained using different existing defuzzification strategies and a recently introduced one are compared with the actual population growth rates in some countries.
American Psychological Association (APA)
Diyab, Hasan& Saadah, Jan. 2005. Fuzzy inference modeling methodology for the simulation of population growth. The International Arab Journal of Information Technology،Vol. 2, no. 1, pp.75-86.
https://search.emarefa.net/detail/BIM-12087
Modern Language Association (MLA)
Diyab, Hasan& Saadah, Jan. Fuzzy inference modeling methodology for the simulation of population growth. The International Arab Journal of Information Technology Vol. 2, no. 1 (Jan. 2005), pp.75-86.
https://search.emarefa.net/detail/BIM-12087
American Medical Association (AMA)
Diyab, Hasan& Saadah, Jan. Fuzzy inference modeling methodology for the simulation of population growth. The International Arab Journal of Information Technology. 2005. Vol. 2, no. 1, pp.75-86.
https://search.emarefa.net/detail/BIM-12087
Data Type
Journal Articles
Language
English
Notes
includes bibliographical references : p. 85
Record ID
BIM-12087