Reliability Evaluation of Binary Group Decision-Making Mechanism

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Information Technology & Decision Making Pub Date : 2024-03-26 DOI:10.1142/s021962202450007x

Qiang Liu, Xinyu Peng, Qingmiao Liu, Qiao Li

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引用次数: 0

Abstract

Decision-making is an important management activity. This study evaluates the reliability of group decision-making (GDM) and multi-attribute GDM (MAGDM) mechanisms for a class of 0–1 binary decision-making problem. We define the reliability of GDM and MAGDM, use the weighted voting system to model the GDM and MAGDM mechanisms, and propose two algorithms to evaluate the reliability of GDM and MAGDM considering the participation of general or professional decision makers. Additionally, the influence of some system parameters, such as the number of decision makers or attributes, cognitive accuracy of decision makers, and threshold of weighted majority voting rule, on the reliability of GDM and MAGDM was analyzed using random simulation experiments. The results of the random experiment show that: increasing the number of decision makers or attributes could improve the decision accuracy; the reduction in the individual subjective accuracy reduces the overall decision accuracy, which was difficult to compensate for by increasing the number of DMs; guiding DMs to reach consensus through group discussion decreased the decision accuracy of GDM and MAGDM.

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二元小组决策机制的可靠性评估

决策是一项重要的管理活动。本研究针对一类 0-1 二元决策问题，评估了群体决策（GDM）和多属性 GDM（MAGDM）机制的可靠性。我们定义了 GDM 和 MAGDM 的可靠性，使用加权投票系统对 GDM 和 MAGDM 机制进行建模，并提出了两种算法来评估考虑一般决策者或专业决策者参与的 GDM 和 MAGDM 的可靠性。此外，还利用随机模拟实验分析了一些系统参数对 GDM 和 MAGDM 可靠性的影响，如决策者或属性的数量、决策者的认知准确性、加权多数表决规则的阈值等。随机实验的结果表明：增加决策者或属性的数量可以提高决策的准确性；个体主观准确性的降低会降低整体决策的准确性，这一点很难通过增加 DM 的数量来弥补；通过小组讨论引导 DM 达成共识会降低 GDM 和 MAGDM 的决策准确性。

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

International Journal of Information Technology & Decision Making 工程技术-计算机：跨学科应用

CiteScore

7.40

自引率

14.30%

发文量

审稿时长

6 months

期刊介绍： International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics including, but not limited to the following: • Artificial Intelligence and Decision Making • Bio-informatics and Medical Decision Making • Cluster Computing and Performance • Data Mining and Web Mining • Data Warehouse and Applications • Database Performance Evaluation • Decision Making and Distributed Systems • Decision Making and Electronic Transaction and Payment • Decision Making of Internet Companies • Decision Making on Information Security • Decision Models for Electronic Commerce • Decision Models for Internet Based on Companies • Decision Support Systems • Decision Technologies in Information System Design • Digital Library Designs • Economic Decisions and Information Systems • Enterprise Computing and Evaluation • Fuzzy Logic and Internet • Group Decision Making and Software • Habitual Domain and Information Technology • Human Computer Interaction • Information Ethics and Legal Evaluations • Information Overload • Information Policy Making • Information Retrieval Systems • Information Technology and Organizational Behavior • Intelligent Agents Technologies • Intelligent and Fuzzy Information Processing • Internet Service and Training • Knowledge Representation Models • Making Decision through Internet • Multimedia and Decision Making [...]