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Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty

Author: Zhen Zhang

Publisher: Springer

Published: 2024-08-05

Total Pages: 0

ISBN-13: 9789819735839

This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields.

Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty

Author: Zhen Zhang

Publisher: Springer Nature

Published:

Total Pages: 204

ISBN-13: 981973584X

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Fuzzy Techniques for Decision Making 2018

Author: José Carlos R. Alcantud

Publisher: MDPI

Published: 2020-12-02

Total Pages: 776

ISBN-13: 3039364154

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Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches.

Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions

Author: Hai Wang

Publisher: Springer

Published: 2019-01-12

Total Pages: 222

ISBN-13: 9811337357

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This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.

Symmetry Measures on Complex Networks

Author: Angel Garrido

Publisher: MDPI

Published: 2018-07-09

Total Pages: 509

ISBN-13: 3038424986

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This book is a printed edition of the Special Issue "Symmetry Measures on Complex Networks" that was published in Symmetry

Computational Social Networks

Author: Ajith Abraham

Publisher: Springer Science & Business Media

Published: 2012-08-14

Total Pages: 390

ISBN-13: 1447140540

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This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

Data Science and Knowledge Engineering for Sensing Decision Support

Author: Jun Liu

Publisher: World Scientific

Published: 2018-07-26

Total Pages: 1624

ISBN-13: 9813273240

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FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.

Linguistic Decision Making

Author: Yucheng Dong

Publisher: Springer

Published: 2018-12-11

Total Pages: 209

ISBN-13: 9811329168

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This book proposes a novel CWW model to personalize individual semantics in linguistic decision making, based on two new concepts: numerical scale and consistency-driven methodology. The numerical scale model provides a unified framework to connect different linguistic symbolic computational models for CWW, and the consistency-driven methodology customizes individuals’ semantics to support linguistic group decision making by setting personalized numerical scales. The book is a valuable resource for researchers and postgraduates who are interested in CWW in linguistic decision making.

The 2-tuple Linguistic Model

Author: Luis Martínez

Publisher: Springer

Published: 2015-12-09

Total Pages: 179

ISBN-13: 331924714X

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This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results. The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model. Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.

Multiple attribute group decision making: A generic conceptual framework and a classiﬁcation scheme

Author: Özgür Kabak

Publisher: Infinite Study

Published:

Total Pages: 18

ISBN-13:

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The research activities in group decision making have dramatically increased over the last decade. In particular, the application of multiple attribute decision-making methods to group decision-making problems occupies a vast area in the related literature. However, there is no systematic classiﬁcation scheme for these researches.