基于独立ERP和业务BI的模糊TOPSIS营销管理系统研究

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zou Tao, Bai Jun, Rongge Bai
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引用次数: 4

摘要

云计算、大数据、人工智能、商业智能等信息技术的快速发展,加快了企业现代化和信息化的进程。计算机技术与管理科学的结合促进了现代企业管理技术的形成。特别是在大数据时代的今天,面对海量数据,如何快速准确地找出所需的信息,分析数据的记忆关系,找出隐藏在海量信息下的内在商业规律,为企业进行商业决策和寻求市场机会提供重要参考。本研究采用了一种模糊TOPSIS模型。采用管理系统的模糊权重和模糊判断来估计评价分数。为了解决这一问题,本文将独立的ERP和BI集成在一起,采用数据仓库、在线分析、数据挖掘等先进技术,研究开发了一个营销管理系统;该系统从ERP数据源中提取有用的数据,并分析其内部规律和统计结果,可用于指导企业的行动,从而有效地提高企业的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on marketing management system based on independent ERP and business BI using fuzzy TOPSIS
The rapid development of cloud computing, big data, AI, BI and other information technologies has accelerated the process of enterprise modernization and informatization. The combination of computer technology and management science promoted the formation of modern enterprise management technology. Especially in today’s era of big data, in the face of massive data, how to quickly and accurately find out the required information, analyze the memory relation of data, find out the inherent business law hidden under massive information, and provide an important reference for enterprises to make business decisions and seek for market opportunities. A methodology that exhibits fuzzy TOPSIS model has been incorporated in this study. Fuzzy weights and fuzzy judgment about the management systems have employed to estimate the scores of evaluation. In order to solve this problem, this paper integrates independent ERP and BI, and studies and develops a marketing management system by using advanced technologies such as data warehouse, online analysis and data mining; The system extracts useful data from ERP data sources, and analyzes the internal rules and statistical results that can be used to guide the enterprise’s actions, so as to effectively improve the enterprise’s competitiveness.
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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