{"title":"基于前景理论的群体决策行为考虑研究","authors":"Yuan-Sheng Lee, H. Shih","doi":"10.6186/IJIMS.2015.26.2.1","DOIUrl":null,"url":null,"abstract":"For managing the behavioral effect of the risk preference of decision makers (DMs) in a group decision, this study adapts the TODIM (an acronym in Portuguese of Interactive and Multi-criteria Decision Making) to deal with risk decision and combines with incremental analysis (IA) and group ranks to construct an integrated multi-criteria group decision support model. In consideration of the ordinal rank of each DM using IA and the relative weights of DMs, the approaches for converting the ordinal data to cardinal data and determining the weights of DMs based on the eigenvector of their ranking distance comparison matrix are also compared and discussed. Furthermore, sensitivity analyses of the parameters of the value function and different weights of DMs demonstrate the robustness of the integrated model. An example proves the proposed model to be feasible.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"55 1","pages":"103-122"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study of Behavioral Considerations based on Prospect Theory for Group Decision Making\",\"authors\":\"Yuan-Sheng Lee, H. Shih\",\"doi\":\"10.6186/IJIMS.2015.26.2.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For managing the behavioral effect of the risk preference of decision makers (DMs) in a group decision, this study adapts the TODIM (an acronym in Portuguese of Interactive and Multi-criteria Decision Making) to deal with risk decision and combines with incremental analysis (IA) and group ranks to construct an integrated multi-criteria group decision support model. In consideration of the ordinal rank of each DM using IA and the relative weights of DMs, the approaches for converting the ordinal data to cardinal data and determining the weights of DMs based on the eigenvector of their ranking distance comparison matrix are also compared and discussed. Furthermore, sensitivity analyses of the parameters of the value function and different weights of DMs demonstrate the robustness of the integrated model. An example proves the proposed model to be feasible.\",\"PeriodicalId\":39953,\"journal\":{\"name\":\"International Journal of Information and Management Sciences\",\"volume\":\"55 1\",\"pages\":\"103-122\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6186/IJIMS.2015.26.2.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6186/IJIMS.2015.26.2.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
摘要
为了管理群体决策中决策者风险偏好的行为效应,本研究采用TODIM (Interactive and Multi-criteria decision Making)来处理风险决策,并结合增量分析(IA)和群体排名,构建了一个集成的多准则群体决策支持模型。考虑到使用IA的每个DM的序数秩和DM的相对权重,比较和讨论了将序数数据转换为基数数据以及基于排序距离比较矩阵的特征向量确定DM权重的方法。此外,通过对价值函数参数和不同权重dm参数的敏感性分析,验证了模型的鲁棒性。算例验证了该模型的可行性。
A Study of Behavioral Considerations based on Prospect Theory for Group Decision Making
For managing the behavioral effect of the risk preference of decision makers (DMs) in a group decision, this study adapts the TODIM (an acronym in Portuguese of Interactive and Multi-criteria Decision Making) to deal with risk decision and combines with incremental analysis (IA) and group ranks to construct an integrated multi-criteria group decision support model. In consideration of the ordinal rank of each DM using IA and the relative weights of DMs, the approaches for converting the ordinal data to cardinal data and determining the weights of DMs based on the eigenvector of their ranking distance comparison matrix are also compared and discussed. Furthermore, sensitivity analyses of the parameters of the value function and different weights of DMs demonstrate the robustness of the integrated model. An example proves the proposed model to be feasible.
期刊介绍:
- Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence