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.

中文翻译：

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基于Or的电子商务智能决策支持系统

目的：本文旨在使用模糊逻辑理论分析，准备和审查用于指导影响情感支持网络和选择模型增强的关键因素发展的一般准则和规则。研究人员已经确定了信息社会（IS）的八个重要组成部分，它们代表了计算机化经济的增长，从而为中期指标和建议解释了一个现实的框架。材料和方法：离散的不间断机会范式描绘了通用框架的创建，其中在状态空间中，将每个组件的相互影响说成是模型。该软件的机械质量提供了沿这些方面显示的改进，这可能表明编程供应商将来会对此感兴趣。研究人员已经为信息技术（IT）专业人员在研发中的发展和兴趣提供了有洞察力的基础。例如，本研究将证明情感支持网络的发展以及基于3D网络的企业的选择建议及其对机械进步，使用和社交行为的影响。结果在教育研究与发展基金会ERDF的赞助下，于2019年在波兰完成的一次IS / IT前瞻性承诺期间，取得了成果。