Purpose

Enterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.

Design/methodology/approach

ERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.

Findings

The proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.

Originality/value

This study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

中文翻译：

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基于直觉模糊和区间灰数的MACBETH方法的ERP软件选择

目的

企业资源规划（ERP）软件是一种基于知识设计的业务单元互联通信和信息共享，确保财务、生产、采购、销售、物流和人力资源等业务流程集成和汇集在一个屋顶。该集成系统使公司能够做出快速准确的决策并提高其竞争力。因此，对于一个企业来说，选择合适的ERP软件是极其重要的。本研究的目的是通过澄清不确定性并以计算方式找到合适的软件，对 ERP 软件选择过程进行新的研究。

设计/方法/方法

ERP选择问题设计包括专家意见和标准值的不确定性，使用直觉模糊集理论和区间灰数到MACBETH多标准决策方法。本文提出了一种新的区间灰色MACBETH方法方法，并利用灰度方法来阐明不确定性。使用这种使用灰色数字的新方法，旨在观察替代方案重要性的变化。此外，通过分别考虑专家意见的重要性，应用了直觉模糊集方法。

发现

所提出的方法基于从定性判断得出的定量决策。将不确定条件下给出的结果与相同方法在清晰条件下获得的结果进行比较。从决策过程中反映的专家定性水平可以明显看出，ERP软件选型问题领域对于不确定环境有更有效的替代决策解决方案，决策者不应低估ERP软件选型过程中标准的不稳定性。

原创性/价值

本研究通过（1）利用 MACBETH 方法通过优化选择 ERP 软件，以及（2）验证专家意见对正确 ERP 软件选择程序的不确定性的重要性，从而为相关文献做出贡献。因此，本研究的结果可以帮助决策者评估不确定条件下的 ERP 选择。