{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:15:40Z","timestamp":1766268940224,"version":"3.40.5"},"reference-count":21,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Fuzzy Systems"],"published-print":{"date-parts":[[2021,8,24]]},"abstract":"<jats:p>Today, regarding the rapid growth of Information and Communications Technology (ICT), e-commerce, and the subsequent expansion of electronic banking, the banking market structure is also expected to dramatically be changed. This paper aims to explore the main effect of electronic banking on the structure of the Iranian banking industry by investigating the banking market concentration degree. To accomplish this aim, an intelligent hybrid model is developed based on multilayer perceptron neural network and fuzzy regression of the effects of banking on the relative electronic share of banks. In the developed method, the neural network parameters such as weights and errors have been considered as the fuzzy parameters to model it under uncertainty. Ultimately, the descriptive statistics are utilized to evaluate how the difference in relative size of banks concerning e-banking has changed, in addition to exploring the main effect of e-banking on the bank\u2019s contribution described as a neural network-fuzzy regression model. Moreover, it shows how the concentration degree in the Iranian banking sector has been reduced. The implemented analysis of the reasons for this decrease reveals that the share of banks has decreased due to an increase in the share of the small banks. Furthermore, model estimation confirms that there exists a positive relationship between banks\u2019 share and the use of electronic banking. Besides, the small banks have strongly been shown to utilize the e-banking so that it would lead to an increase in their share and a decrease in the concentration degree. As such, it can be concluded that e-banking has reduced the concentration degree in Iran. The descriptive statistics are employed to prove it.<\/jats:p>","DOI":"10.1155\/2021\/8856990","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T20:05:08Z","timestamp":1629921908000},"page":"1-14","source":"Crossref","is-referenced-by-count":3,"title":["Exploring the Main Effect of e-Banking on the Banking Industry Concentration Degree on Predicting the Future of the Banking Industry: A Case Study"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5522-1199","authenticated-orcid":true,"given":"Zohreh","family":"Ghasemi","sequence":"first","affiliation":[{"name":"Department of Applied Mathematics, Tehran North Branch, Islamic Azad University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5912-058X","authenticated-orcid":true,"given":"Mozhdeh","family":"Afshar Kermani","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, Tehran North Branch, Islamic Azad University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6673-3560","authenticated-orcid":true,"given":"Tofigh","family":"Allahviranloo","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.22059\/JTE.2012.24673"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s11151-006-0011-y"},{"key":"3","volume-title":"Econometric","author":"A. Souri","year":"2009","edition":"7th"},{"key":"4","unstructured":"KhasheiM.Forecasting and analysis of Esfahan steel company productions price in Tehran metals exchangeusing arti cial neural networks2005Isfahan, IranIsfahan University of TechnologyMaster of Science thesis"},{"key":"5","unstructured":"KangS.An investigation of the use of feedforward neural networks for forecasting1991Kent, OH, USAKent StateUniversityPh.D. thesis"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(87)90033-9"},{"key":"7","first-page":"47","article-title":"Possibility regression analysis based on linear programming","volume-title":"Fuzzy Regression Analysis","author":"H. 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Shapiro","key":"19"},{"issue":"3","key":"20","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/S0165-0114(97)00375-8","article-title":"Insight of a fuzzy regression model","volume":"112","author":"H. F. Wang","year":"2000","journal-title":"Fuzzy Set and Systems"},{"issue":"2","key":"21","first-page":"545","article-title":"The effect of electronic banking on deposit attraction and market concentration in Iran\u2019s banking industry, Iran","volume":"24","author":"H. S. Shamsedin","year":"2020","journal-title":"Economic Review"}],"container-title":["Advances in Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/afs\/2021\/8856990.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/afs\/2021\/8856990.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/afs\/2021\/8856990.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T20:05:18Z","timestamp":1629921918000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/afs\/2021\/8856990\/"}},"subtitle":[],"editor":[{"given":"Bekir","family":"Sahin","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,8,24]]},"references-count":21,"alternative-id":["8856990","8856990"],"URL":"https:\/\/doi.org\/10.1155\/2021\/8856990","relation":{},"ISSN":["1687-711X","1687-7101"],"issn-type":[{"type":"electronic","value":"1687-711X"},{"type":"print","value":"1687-7101"}],"subject":[],"published":{"date-parts":[[2021,8,24]]}}}