Large Scale Group Decision Making

Author : Tong Wu,Xinwang Liu
Publisher : Springer Nature
Page : 372 pages
File Size : 49,5 Mb
Release : 2023-01-23
Category : Business & Economics
ISBN : 9789811981678

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Large-Scale Group Decision-Making with Uncertain and Behavioral Considerations by Tong Wu,Xinwang Liu Pdf

This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context.

Author : Su-Min Yu,Zhi-Jiao Du
Publisher : Springer Nature
Page : 195 pages
File Size : 42,8 Mb
Release : 2022-01-03
Category : Business & Economics
ISBN : 9789811678899

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Large-Scale Group Decision-Making by Su-Min Yu,Zhi-Jiao Du Pdf

This 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.

Author : Zhijiao Du,Sumin Yu
Publisher : Springer Nature
Page : 157 pages
File Size : 50,5 Mb
Release : 2023-12-25
Category : Business & Economics
ISBN : 9789819977949

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Social Network Large-Scale Decision-Making by Zhijiao Du,Sumin Yu Pdf

This book focuses on the following three key topics in social network large-scale decision-making: structure-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering trust loss. To address the aggregation and distance measurement of structure-heterogeneous evaluation information, we propose a fusion method based on trust and behavior analysis. Then, two clustering algorithms are put forward, including trust Cop-K-means clustering algorithm and compatibility distance-oriented off-center clustering algorithm. The above clustering algorithms emphasize the similarity of opinions and social relationships as important measurement attributes of clustering. Finally, this book explores the impact of trust loss originating from social relationships on the CRP and develops two consensus-reaching models, namely the improved minimum-cost consensus model that takes into account voluntary trust loss and the punishment-driven consensus-reaching model. Some case studies, a large number of numerical experiments, and comparative analyses are provided in this book to demonstrate the characteristics and advantages of the proposed methods and models. The authors encourage researchers, students, and enterprises engaged in social network analysis, group decision-making, multi-agent collaborative decision-making, and large-scale data processing to pay attention to the proposals presented in this book. After reading this book, the authors expect readers to have a deeper and more comprehensive understanding of social network large-scale decision-making. Inorder to make it more accurate for readers to understand the methods and models presented in this book, the authors strongly recommend that potential readers have a good research foundation in fuzzy soft computing, traditional clustering algorithms, basic mathematics knowledge, and other related preliminaries.

Author : Iván Palomares Carrascosa
Publisher : Springer
Page : 118 pages
File Size : 45,6 Mb
Release : 2018-10-31
Category : Computers
ISBN : 9783030010270

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Large Group Decision Making by Iván Palomares Carrascosa Pdf

This SpringerBrief provides a pioneering, central point of reference for the interested reader in Large Group Decision Making trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and implementation of decision support systems, among others. Based on the challenges and difficulties found in classical approaches to handle large decision groups, the principles, families of techniques, and newly related disciplines to Large-Group Decision Making (such as Data Science, Artificial Intelligence, Social Network Analysis, Opinion Dynamics, Behavioral and Cognitive Sciences), are discussed. Real-world applications and future directions of research on this novel topic are likewise highlighted.

Author : Jianjun Zhu
Publisher : CRC Press
Page : 258 pages
File Size : 44,5 Mb
Release : 2012-07-23
Category : Business & Economics
ISBN : 9781420087512

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Theory and Approaches of Unascertained Group Decision-Making by Jianjun Zhu Pdf

Tackling the question of how to effectively aggregate uncertain preference information in multiple structures given by decision-making groups, Theory and Approaches of Unascertained Group Decision-Making focuses on group aggregation methods based on uncertainty preference information. It expresses the complexity existing in each group decision-maki

Author : Yuanhang Zheng
Publisher : Springer Nature
Page : 201 pages
File Size : 44,6 Mb
Release : 2024-06-27
Category : Electronic
ISBN : 9783031603501

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Granularities-Driven Hesitant Fuzzy Linguistic Decision Making by Yuanhang Zheng Pdf

Author : Yucheng Dong,Jiuping Xu
Publisher : Springer
Page : 201 pages
File Size : 51,7 Mb
Release : 2015-10-22
Category : Business & Economics
ISBN : 9789812878922

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Consensus Building in Group Decision Making by Yucheng Dong,Jiuping Xu Pdf

This book is intended for researchers and postgraduates who are interested in the consensus reaching process in group decision-making problems. It puts forward new optimization-based decision support approaches to help decision-makers find roadmaps to consensus with minimum adjustments. Simulation experiments and comparison analysis are subsequently conducted to assess the validity of the proposal. After reading this book, readers will possess a number of valuable tools for building consensus with minimum adjustments in the context of group decision-making. Further, the proposed approach can effectively reduce costs in consensus building.​

Author : Hamido Fujita,Philippe Fournier-Viger,Moonis Ali,Yinglin Wang
Publisher : Springer Nature
Page : 932 pages
File Size : 50,7 Mb
Release : 2022-08-29
Category : Computers
ISBN : 9783031085307

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Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence by Hamido Fujita,Philippe Fournier-Viger,Moonis Ali,Yinglin Wang Pdf

This book constitutes the thoroughly refereed proceedings of the 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, held in Kitakyushu, Japan, in July 2022. The 67 full papers and 11 short papers presented were carefully reviewed and selected from 127 submissions. The IEA/AIE 2022 conference focuses on focuses on applications of applied intelligent systems to solve real-life problems in all areas including business and finance, science, engineering, industry, cyberspace, bioinformatics, automation, robotics, medicine and biomedicine, and human-machine interactions.

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 368 pages
File Size : 54,5 Mb
Release : 2015-04-21
Category : Technology & Engineering
ISBN : 9783319168296

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Granular Computing and Decision-Making by Witold Pedrycz,Shyi-Ming Chen Pdf

This volume is devoted to interactive and iterative processes of decision-making– I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems. The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies. The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems.

Author : Walayat Hussain,Honghao Gao,Fethi Rabhi,Luis Martínez
Publisher : CRC Press
Page : 148 pages
File Size : 42,6 Mb
Release : 2023-12-06
Category : Computers
ISBN : 9781000993967

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Advances in Complex Decision Making by Walayat Hussain,Honghao Gao,Fethi Rabhi,Luis Martínez Pdf

The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework. The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms. For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.

Author : Danielle Costa Morais,Liping Fang,Masahide Horita
Publisher : Springer Nature
Page : 212 pages
File Size : 48,6 Mb
Release : 2020-05-12
Category : Computers
ISBN : 9783030486419

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Group Decision and Negotiation: A Multidisciplinary Perspective by Danielle Costa Morais,Liping Fang,Masahide Horita Pdf

This book constitutes the refereed proceedings of the 20th International Conference on Group Decision and Negotiation, GDN 2020, which was planned to be held in Toronto, ON, Canada, during June 7–11, 2020. The conference was cancelled due to the Coronavirus pandemic. Nevertheless, it was decided to publish the proceedings, because the review process had already been completed at the time the cancellation was decided. The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 14 full papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: Conflict Resolution, Preference Modeling for Group Decision and Negotiation, Intelligent Group Decision Making and Consensus Process, Collaborative Decision Making Processes.

Author : Wilhelm Forst,Dieter Hoffmann
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 54,5 Mb
Release : 2010-07-26
Category : Mathematics
ISBN : 9780387789767

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Optimization—Theory and Practice by Wilhelm Forst,Dieter Hoffmann Pdf

Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering. Constrained optimization models are one of the most widely used mathematical models in operations research and management science. This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications. Detailed examples and counter-examples are provided--as are exercises, solutions and helpful hints, and Matlab/Maple supplements.

Author : H. Fujita,Y. Watanobe,T. Azumi
Publisher : IOS Press
Page : 744 pages
File Size : 46,6 Mb
Release : 2022-10-11
Category : Computers
ISBN : 9781643683171

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New Trends in Intelligent Software Methodologies, Tools and Techniques by H. Fujita,Y. Watanobe,T. Azumi Pdf

The integration of applied intelligence with software has been an essential enabler for science and the new economy, creating new possibilities for a more reliable, flexible and robust society. But current software methodologies, tools, and techniques often fall short of expectations, and are not yet sufficiently robust or reliable for a constantly changing and evolving market. This book presents the proceedings of SoMeT_22, the 21st International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held from 20 - 22 September 2022 in Kitakyushu, Japan. The SoMeT conference provides a platform for the exchange of ideas and experience in the field of software technology, with the emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for optimal performance. The 58 papers presented here were each carefully reviewed by 3 or 4 referees for technical soundness, relevance, originality, significance and clarity, they were then revised before being selected by the international reviewing committee. The papers are arranged in 9 chapters: software systems with intelligent design; software systems security and techniques; formal techniques for system software and quality assessment; applied intelligence in software; intelligent decision support systems; cyber-physical systems; knowledge science and intelligent computing; ontology in data and software; and machine learning in systems software. The book assembles the work of scholars from the international research community to capture the essence of the new state-of-the-art in software science and its supporting technology, and will be of interest to all those working in the field.

Author : Xunjie Gou,Zeshui Xu
Publisher : Springer Nature
Page : 206 pages
File Size : 40,5 Mb
Release : 2020-06-23
Category : Technology & Engineering
ISBN : 9783030513207

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Double Hierarchy Linguistic Term Set and Its Extensions by Xunjie Gou,Zeshui Xu Pdf

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Author : D. Marc Kilgour,Colin Eden
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 44,9 Mb
Release : 2010-08-02
Category : Mathematics
ISBN : 9789048190973

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Handbook of Group Decision and Negotiation by D. Marc Kilgour,Colin Eden Pdf

Publication of the Handbook of Group Decision and Negotiation marks a milestone in the evolution of the group decision and negotiation (GDN) eld. On this occasion, editors Colin Eden and Marc Kilgour asked me to write a brief history of the eld to provide background and context for the volume. They said that I am in a good position to do so: Actively involved in creating the GDN Section and serving as its chair; founding and leading the GDN journal, Group Decision and Negotiation as editor-in-chief, and the book series, “Advances in Group Decision and Negotiation” as editor; and serving as general chair of the GDN annual meetings. I accepted their invitation to write a brief history. In 1989 what is now the Institute for Operations Research and the Management Sciences (INFORMS) established its Section on Group Decision and Negotiation. The journal Group Decision and Negotiation was founded in 1992, published by Springer in cooperation with INFORMS and the GDN Section. In 2003, as an ext- sion of the journal, the Springer book series, “Advances in Group Decision and Negotiation” was inaugurated.