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Open AccessArticle

Or-Based Intelligent Decision Support System for E-Commerce

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College of Finance and Economics, Shandong University of Science and Technology, Taian 271000, China
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College of Economics and Management, Taishan University, Taian 271000, China
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Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 11021-110231588, Colombia
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Faculty of Applied Computing and Technology, 4621 Kristiansand, Norway
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Author to whom correspondence should be addressed.
Academic Editor: Hassan Qudrat-Ullah
J. Theor. Appl. Electron. Commer. Res. 2021, 16(4), 1150-1164; https://doi.org/10.3390/jtaer16040065
Received: 21 December 2020 / Revised: 8 March 2021 / Accepted: 16 March 2021 / Published: 26 March 2021
(This article belongs to the Special Issue Big Data and Machine Learning in Electronic Commerce)
Aim: This paper aims to analyze, prepare, and review the general guidelines and rules that govern the development of key factors influencing the enhancement of emotionally supportive networks and selection models using fuzzy logic theory. The researchers have identified eight important components of the information society (IS), representing the computerized economy’s growth to explain a realistic framework for medium-term gauges and proposals. Materials and methods: A discrete-nonstop opportunity paradigm portrays the creation of the general framework, in which the mutual effects of each of the components are spoken to models within the state-space. The software’s mechanical quality offers improvement displayed along these lines that may indicate future interest to programing suppliers. The researchers have given supposed to the developments and interests of information technology (IT) professionals in R&D to provide insightful foundations. For example, this study will demonstrate the development of emotionally supportive networks and recommendations of choices for 3D-web-based businesses and their impact on mechanical advancement, examples of use and social behavior. Results: During an IS/IT foreknowledge undertaking completed in Poland in 2019 and sponsored by the Education Research and Development Foundation ERDF, the results were obtained. View Full-Text
Keywords: E-commerce; DSS production; web-based business E-commerce; DSS production; web-based business
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MDPI and ACS Style

Zong, K.; Yuan, Y.; Montenegro-Marin, C.E.; Kadry, S.N. Or-Based Intelligent Decision Support System for E-Commerce. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 1150-1164. https://doi.org/10.3390/jtaer16040065

AMA Style

Zong K, Yuan Y, Montenegro-Marin CE, Kadry SN. Or-Based Intelligent Decision Support System for E-Commerce. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(4):1150-1164. https://doi.org/10.3390/jtaer16040065

Chicago/Turabian Style

Zong, Ke; Yuan, Yuan; Montenegro-Marin, Carlos E.; Kadry, Seifedine N. 2021. "Or-Based Intelligent Decision Support System for E-Commerce" J. Theor. Appl. Electron. Commer. Res. 16, no. 4: 1150-1164. https://doi.org/10.3390/jtaer16040065

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