ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.

中文翻译：

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为中小企业选择基于云的 ERP 系统的集成直觉模糊 MCDM 方法

ERP系统是一个软件包，它集成和管理业务的各个方面，并深刻影响业务的成功。日益激烈的市场竞争、快速变化的需求以及日益复杂的业务流程促使企业采用 ERP 解决方案。采用 ERP 解决方案可提高业务活动之间的同步性并加强管理决策。但是，它也涉及大量的投资、大量的人力资源和时间，以及失败的风险。因此，选择ERP解决方案是企业的关键决策。为了解决这个决策问题，我们在本文中提出了一种四阶段多标准决策方法。三种流行的 MCDM 技术，DEMATEL、IF-ANP 和 IF-AHP，用于方法的不同阶段以取得更好的结果。该方法结合了直觉模糊集来捕捉决策者判断中涉及的不确定性和犹豫。此外，我们开发了一种新的优先级方法来从直觉模糊偏好关系中推导出权重。为了验证所提出方法的可行性，对印度恰蒂斯加尔邦中小企业选择基于云的 ERP 系统进行了案例研究，表明所提出的四阶段方法有效地解决了 ERP 选择问题。我们开发了一种新的优先级方法来从直觉模糊偏好关系中推导出权重。为了验证所提出方法的可行性，对印度恰蒂斯加尔邦中小企业选择基于云的 ERP 系统进行了案例研究，表明所提出的四阶段方法有效地解决了 ERP 选择问题。我们开发了一种新的优先级方法来从直觉模糊偏好关系中推导出权重。为了验证所提出方法的可行性，对印度恰蒂斯加尔邦中小企业选择基于云的 ERP 系统进行了案例研究，表明所提出的四阶段方法有效地解决了 ERP 选择问题。