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An Investigation Of An Adaptive Neuro-fuzzy Inference System To Model The Relationship Among Natural Resources, Islamicity And Financial Development

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dc.contributor.authorHafezali Iqbal Hussainen_US
dc.contributor.authorJahanzaib Haideren_US
dc.contributor.authorAbdul Qayyumen_US
dc.contributor.authorRashidah Kamarulzamanen_US
dc.contributor.authorNazratul Aina Mohamad Anwaren_US
dc.date.accessioned2024-05-27T14:39:26Z
dc.date.available2024-05-27T14:39:26Z
dc.date.issued2020
dc.date.submitted2020-12-10
dc.description2020, Vol. XXIX, N°4, 524-540en_US
dc.description.abstractUnderstanding the relations among natural resources, Islamicity and financial development helps economies to formulate policies and develop sources to improve the financial development. The current study aims to apply a novel Adaptive Neuro-Fuzzy Inference System (ANFIS) to explore financial development in 6 Asian economies (Pakistan, Indonesia, Philippines, Qatar, Bahrain and Thailand). It is a model used for prediction that depends on fuzzy guidelines findings in the information and creates a link among criterion and predictor variables. In doing so, the study considers the data from 2005 to 2019 to construct the forecasting framework of financial development in selected Asian economies using two predictor variables (natural resources and Islamicity). The findings of the study show that financial development increases with the decline in natural resources in all the sample countries. The selected countries are similar with respect to natural resources as a predictor versus financial development as criterion. With respect to Islamicity index, the findings are similar in Pakistan, Indonesia and Thailand and alike in Philippines, Qatar and Bahrain. For concern, in Pakistan, Indonesia and Thailand, financial development increases with the decline in Islamicity index while it increases with the increase in Islamicity index in Philippines, Qatar and Bahrain. It is concluded that resource-centered nations have negative relationship with financial development. It seems that the economies with abundant natural resources increases the exports of these resources instead of using them in the process of production. The study concludes that this soft computing approach can be implemented as an efficient and effective tool for predicting financial development for future period based on anticipated targets of rising financial development in Asian economies. Moreover, the method established in this study can be utilized to find out the solutions of different prediction problems in the similar domains. Keywords Natural Resources, Islamicity, Financial Development, Adaptive Neuro-Fuzzy Inference Systemen_US
dc.identifier.doi10.24205/03276716.2020.859
dc.identifier.epage540
dc.identifier.issn0327-6716
dc.identifier.issue4
dc.identifier.other2066-8
dc.identifier.spage524
dc.identifier.urihttps://revistaclinicapsicologica.com/archivesarticle.php?id=66
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3541
dc.identifier.volume29
dc.language.isoenen_US
dc.publisherFundacion Aigleen_US
dc.relation.ispartofRevista Argentina de Clinica Psicologicaen_US
dc.subjectNatural Resources,en_US
dc.subjectIslamicity,en_US
dc.subjectFinancial Development,en_US
dc.subjectAdaptive Neuro-Fuzzy Inference Systemen_US
dc.titleAn Investigation Of An Adaptive Neuro-fuzzy Inference System To Model The Relationship Among Natural Resources, Islamicity And Financial Developmenten_US
dc.typeArticleen_US
dspace.entity.typePublication

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