Human Resources Management Application Selection with Fuzzy MAIRCA Method Based on Fuzzy PIPRECIA

Pamukkale University Journal of Business Research Pub Date : 2024-04-08 DOI:10.47097/piar.1427355

Simge Yenilmezel, Irfan Ertugrul

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Abstract

Today, the intense competitive environment for businesses creates complexity in the decision-making process. It is recommended to use Multi-Criteria Decision Making (MCDM) methods, which are one of the most effective and practical methods in solving complexities. In uncertain and uncertain situations, using Fuzzy MCDM methods instead of Classic MCDM methods provides an advantage in decision making. With fuzzy MCDM methods, subjective evaluations expressed verbally by decision makers are analyzed by integrating them with numerical values. In this study, the selection of human resources management application for a business operating in the fields of logistics, warehousing, sales and commercial marketing was made using the Fuzzy PIPRECIA and Fuzzy MAIRCA methods, which are among the Fuzzy MCDM methods. In the study, the opinions of four decision makers were taken and seven criteria and four alternatives were determined. Among the seven criteria evaluated, the most important criterion was K7, which represents the technical support criterion, while the most suitable alternative among the four alternatives was determined as A1.

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基于模糊 PIPRECIA 的模糊 MAIRCA 方法的人力资源管理应用选择

如今，激烈的企业竞争环境给决策过程带来了复杂性。建议使用多标准决策（MCDM）方法，这是解决复杂问题最有效、最实用的方法之一。在不确定和不确定的情况下，使用模糊 MCDM 方法而不是经典 MCDM 方法可为决策提供优势。利用模糊 MCDM 方法，可以将决策者口头表达的主观评价与数值相结合进行分析。在本研究中，使用模糊 MCDM 方法中的模糊 PIPRECIA 和模糊 MAIRCA 方法，为一家从事物流、仓储、销售和商业营销的企业选择人力资源管理应用程序。在研究中，听取了四位决策者的意见，确定了七项标准和四个备选方案。在评估的七项标准中，最重要的标准是 K7，代表技术支持标准，而四个备选方案中最合适的备选方案被确定为 A1。

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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Pamukkale University Journal of Business Research

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