{"title":"模糊多准则决策的判断聚合方法","authors":"Arianna Anniciello, E. Masciari","doi":"10.1109/PDP59025.2023.00051","DOIUrl":null,"url":null,"abstract":"In most decision-making scenarios, the decision relies upon a multiplicity of factors/criteria which need to be selected and prioritized counting on the knowledge of a group of experts, with the aim of reaching a global decision. Through judgment aggregation models we seek a rational mechanism to reconcile individual judgments into a collective prioritization of requirements. In this paper we present a fuzzy multi-criteria group decision-making model, and experiment its application in credit rating determination, applying Majority Judgment as a method to consolidate the evaluations of a bank's board of direction into a shared and rational decision on SME rating.","PeriodicalId":153500,"journal":{"name":"2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Judgment Aggregation Method for Fuzzy Multi Criteria Decision Making\",\"authors\":\"Arianna Anniciello, E. Masciari\",\"doi\":\"10.1109/PDP59025.2023.00051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In most decision-making scenarios, the decision relies upon a multiplicity of factors/criteria which need to be selected and prioritized counting on the knowledge of a group of experts, with the aim of reaching a global decision. Through judgment aggregation models we seek a rational mechanism to reconcile individual judgments into a collective prioritization of requirements. In this paper we present a fuzzy multi-criteria group decision-making model, and experiment its application in credit rating determination, applying Majority Judgment as a method to consolidate the evaluations of a bank's board of direction into a shared and rational decision on SME rating.\",\"PeriodicalId\":153500,\"journal\":{\"name\":\"2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)\",\"volume\":\"227 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDP59025.2023.00051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP59025.2023.00051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Judgment Aggregation Method for Fuzzy Multi Criteria Decision Making
In most decision-making scenarios, the decision relies upon a multiplicity of factors/criteria which need to be selected and prioritized counting on the knowledge of a group of experts, with the aim of reaching a global decision. Through judgment aggregation models we seek a rational mechanism to reconcile individual judgments into a collective prioritization of requirements. In this paper we present a fuzzy multi-criteria group decision-making model, and experiment its application in credit rating determination, applying Majority Judgment as a method to consolidate the evaluations of a bank's board of direction into a shared and rational decision on SME rating.