{"title":"二元小组决策机制的可靠性评估","authors":"Qiang Liu, Xinyu Peng, Qingmiao Liu, Qiao Li","doi":"10.1142/s021962202450007x","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50315,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reliability Evaluation of Binary Group Decision-Making Mechanism\",\"authors\":\"Qiang Liu, Xinyu Peng, Qingmiao Liu, Qiao Li\",\"doi\":\"10.1142/s021962202450007x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":50315,\"journal\":{\"name\":\"International Journal of Information Technology & Decision Making\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information Technology & Decision Making\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1142/s021962202450007x\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Technology & Decision Making","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1142/s021962202450007x","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Reliability Evaluation of Binary Group Decision-Making Mechanism
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.
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
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