Dynamic group decision-making for enterprise resource planning selection using two-tuples Pythagorean fuzzy MOORA approach

IF 7.5 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Expert Systems with Applications Pub Date : 2024-11-08 DOI:10.1016/j.eswa.2024.125675

B.S. Mahapatra , Debashis Ghosh , Dragan Pamucar , G.S. Mahapatra

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引用次数: 0

Abstract

Enterprise resource planning (ERP) is an artificial intelligence software that enables organizations to automate and efficiently administer their essential business processes. ERP software assists an organization with time and resource optimization for efficient operations. Choosing an appropriate ERP system for a specific organization has become challenging for decision-makers (DMs) since it involves navigating competing technical, organizational, and financial considerations. A complete, flexible, multi-criteria group decision-making (MCGDM) method based on the Pythagorean fuzzy set (PFS) is proposed in this article to help an organization choose the best option. The PFSs are used to rate both the criteria of an ERP alternative and the quality of the DMs. The collective assessment of the DMs, along with their preferences, is integrated using the Pythagorean fuzzy Einstein-ordered weighted operator (PFEOWO). The method based on the Removal Effects of Criteria (MEREC) is enhanced in a Pythagorean setting to find the Pythagorean weights of each ERP criterion. The Pythagorean weights of the criteria are combined with the DM’s preference using the Pythagorean fuzzy weighted average operator (PFWAO). These combined Pythagorean weights are integrated with the combined assessment of the DMs to produce the weighted Pythagorean decision matrix. Then, the MOORA approach is also enhanced in a PFS setting, and an improved Pythagorean fuzzy MOORA (PF-MOORA) is proposed to solve an MCGDM problem in an uncertain context. Data is generated for three DMs and five ERP packages with twelve characteristics to demonstrate the proposed PF-MOORA. Based on the suggested PF-MOORA method, the fifth and fourth ERP packages are optimal and least favorable, respectively. A sensitivity analysis is conducted by altering the criteria weights to measure the influence of the ERP ranking on the criteria weights. Finally, the proposed PF-MOORA is compared with existing crisp and Pythagorean multi-criteria decision analysis methods to demonstrate its coherence and resilience.

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使用双元组毕达哥拉斯模糊 MOORA 方法为企业资源规划选择进行动态群体决策

企业资源规划（ERP）是一种人工智能软件，可使组织实现自动化并有效管理其基本业务流程。企业资源规划软件帮助组织优化时间和资源，实现高效运营。为特定组织选择合适的企业资源规划系统对决策者（DMs）来说具有挑战性，因为这涉及到技术、组织和财务方面相互竞争的考虑因素。本文提出了一种基于毕达哥拉斯模糊集（PFS）的完整、灵活、多标准群体决策（MCGDM）方法，以帮助组织选择最佳方案。PFS 既用于评价 ERP 备选方案的标准，也用于评价 DM 的质量。使用毕达哥拉斯模糊爱因斯坦有序加权算子（PFEOWO）对 DM 的集体评估及其偏好进行整合。在毕达哥拉斯环境下，基于标准移除效应（MEREC）的方法得到了增强，从而找到了每个 ERP 标准的毕达哥拉斯权重。使用毕达哥拉斯模糊加权平均算子（PFWAO）将标准的毕达哥拉斯权重与 DM 的偏好结合起来。这些综合毕达哥拉斯权重与 DM 的综合评估相结合，生成加权毕达哥拉斯决策矩阵。然后，MOORA 方法在 PFS 设置中也得到了增强，并提出了一种改进的毕达哥拉斯模糊 MOORA（PF-MOORA），用于解决不确定情况下的 MCGDM 问题。我们生成了具有十二种特征的三种 DM 和五种 ERP 软件包的数据来演示所建议的 PF-MOORA。根据建议的 PF-MOORA 方法，第五套和第四套 ERP 方案分别是最优和最差的。通过改变标准权重进行了敏感性分析，以衡量企业资源规划排序对标准权重的影响。最后，将建议的 PF-MOORA 与现有的简明和毕达哥拉斯多标准决策分析方法进行了比较，以证明其一致性和弹性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Systems with Applications 工程技术-工程：电子与电气

CiteScore

13.80

自引率

10.60%

发文量

2045

审稿时长

8.7 months

期刊介绍： Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.