001443621 000__ 04514cam\a2200625Ii\4500 001443621 001__ 1443621 001443621 003__ OCoLC 001443621 005__ 20230310003553.0 001443621 006__ m\\\\\o\\d\\\\\\\\ 001443621 007__ cr\cn\nnnunnun 001443621 008__ 220108s2022\\\\si\a\\\\ob\\\\000\0\eng\d 001443621 019__ $$a1290840731$$a1291147652$$a1291172104$$a1294350641 001443621 020__ $$a9789811678899$$q(electronic bk.) 001443621 020__ $$a9811678898$$q(electronic bk.) 001443621 020__ $$z9789811678882 001443621 020__ $$z981167888X 001443621 0247_ $$a10.1007/978-981-16-7889-9$$2doi 001443621 035__ $$aSP(OCoLC)1291318339 001443621 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dDCT$$dOCLCF$$dOCLCO$$dCNO$$dOCLCO$$dOCLCQ 001443621 049__ $$aISEA 001443621 050_4 $$aHD30.23$$b.Y8 2022eb 001443621 08204 $$a658.4/030015118$$223 001443621 1001_ $$aYu, Su-Min,$$eauthor. 001443621 24510 $$aLarge-scale group decision-making :$$bstate-to-the-art clustering and consensus paths /$$cSu-Min Yu, Zhi-Jiao Du. 001443621 264_1 $$aSingapore :$$bSpringer,$$c[2022] 001443621 264_4 $$c©2022 001443621 300__ $$a1 online resource (xxiv, 178 pages) :$$billustrations (chiefly color) 001443621 336__ $$atext$$btxt$$2rdacontent 001443621 337__ $$acomputer$$bc$$2rdamedia 001443621 338__ $$aonline resource$$bcr$$2rdacarrier 001443621 347__ $$atext file$$bPDF$$2rda 001443621 504__ $$aIncludes bibliographical references. 001443621 5050_ $$aChapter 1. Introduction -- Chapter 2. Preliminary Knowledge -- Chapter 3. Trust-Similarity Analysis-Based Clustering Method -- Chapter 4. Trust-Similarity Measure-Based Hierarchical Clustering Method -- Chapter 5. Hierarchical Punishment-Driven Consensus Model for Probabilistic Linguistic LSGDM -- Chapter 6. Confidence Consensus-Based Model for LSGDM -- Chapter 7. Integration of Independent and Supervised Consensus Models -- Chapter 8. Consensus Building: Coordination Between Trust Relationships and Opinion Similarity -- Chapter 9. Conclusions and Future Research Directions. . 001443621 506__ $$aAccess limited to authorized users. 001443621 520__ $$aThis book explores clustering operations in the context of social networks and consensus-reaching paths that take into account non-cooperative behaviors. This book focuses on the two key issues in large-scale group decision-making: clustering and consensus building. Clustering aims to reduce the dimension of a large group. Consensus reaching requires that the divergent individual opinions of the decision makers converge to the group opinion. This book emphasizes the similarity of opinions and social relationships as important measurement attributes of clustering, which makes it different from traditional clustering methods with single attribute to divide the original large group without requiring a combination of the above two attributes. The proposed consensus models focus on the treatment of non-cooperative behaviors in the consensus-reaching process and explores the influence of trust loss on the consensus-reaching process.The logic behind is as follows: firstly, a clustering algorithm is adopted to reduce the dimension of decision-makers, and then, based on the clusters opinions obtained, a consensus-reaching process is carried out to obtain a decision result acceptable to the majority of decision-makers. Graduates and researchers in the fields of management science, computer science, information management, engineering technology, etc., who are interested in large-scale group decision-making and consensus building are potential audience of this book. It helps readers to have a deeper and more comprehensive understanding of clustering analysis and consensus building in large-scale group decision-making. . 001443621 588__ $$aDescription based upon print version of record. 001443621 650_0 $$aGroup decision making$$xMathematical models. 001443621 650_0 $$aCluster analysis. 001443621 650_0 $$aOperations research. 001443621 650_0 $$aManagement science. 001443621 650_0 $$aComputer science. 001443621 650_6 $$aDécision de groupe$$xModèles mathématiques. 001443621 650_6 $$aClassification automatique (Statistique) 001443621 650_6 $$aRecherche opérationnelle. 001443621 650_6 $$aSciences de la gestion. 001443621 650_6 $$aInformatique. 001443621 655_0 $$aElectronic books. 001443621 7001_ $$aDu, Zhi-Jiao,$$eauthor. 001443621 77608 $$iPrint version:$$aYu, Su-Min$$tLarge-Scale Group Decision-Making$$dSingapore : Springer Singapore Pte. Limited,c2022$$z9789811678882 001443621 852__ $$bebk 001443621 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7889-9$$zOnline Access$$91397441.1 001443621 909CO $$ooai:library.usi.edu:1443621$$pGLOBAL_SET 001443621 980__ $$aBIB 001443621 980__ $$aEBOOK 001443621 982__ $$aEbook 001443621 983__ $$aOnline 001443621 994__ $$a92$$bISE