Fuzzy Collaborative Forecasting and Clustering
Fuzzy Collaborative Forecasting and Clustering

Author: Tin-Chih Toly Chen

Publisher: Springer

Published: 2019-06-14

Total Pages: 99

ISBN-13: 3030225747

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This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.

Fuzzy Collaborative Forecasting and Clustering
Fuzzy Collaborative Forecasting and Clustering

Author: Tin-Chih Toly Chen

Publisher: Springer

Published: 2019-08-15

Total Pages: 89

ISBN-13: 9783030225735

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This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.

Advances in Fuzzy Group Decision Making
Advances in Fuzzy Group Decision Making

Author: Tin-Chih Toly Chen

Publisher: Springer Nature

Published: 2021-09-15

Total Pages: 94

ISBN-13: 3030862089

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This book is focused on fuzzy group decision making, offering technical details including methodology, collaboration and aggregation mechanisms, system architectures, and applications. It explores the two categories of fuzzy-group decision making - anterior-aggregation and posterior-aggregation – and highlights how imperative collaboration amongst decision makers is for both forms. Advances in Fuzzy Group Decision Making will be of interest to researchers in decision making, artificial intelligence, soft computing, operations management, and information management, as well as practicing managers and engineers.

Integrated Uncertainty in Knowledge Modelling and Decision Making
Integrated Uncertainty in Knowledge Modelling and Decision Making

Author: Katsuhiro Honda

Publisher: Springer Nature

Published: 2023-10-26

Total Pages: 388

ISBN-13: 3031467817

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These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Sustainable Smart Healthcare
Sustainable Smart Healthcare

Author: Tin-Chih Toly Chen

Publisher: Springer Nature

Published: 2023

Total Pages: 116

ISBN-13: 3031371461

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This book shows how smart technology applications to mobile healthcare will be different in the post-pandemic era. Prior to the Covid-19 pandemic, smart technologies had been widely applied to mobile health care. It will be the same in the post pandemic. However, the widely used smart technologies before and after the Covid-19 pandemic may be different. First, users' motivations for applying smart technologies have changed. In addition, some innovative ways of applying smart technologies within the Covid-19 pandemic have emerged. Further, users' acceptance of smart technology applications has increased. Furthermore, new smart technologies are still being proposed. This book discusses these topics.

Fuzzy Sets, Fuzzy Logic and Their Applications
Fuzzy Sets, Fuzzy Logic and Their Applications

Author: Michael Gr. Voskoglou

Publisher: MDPI

Published: 2020-03-25

Total Pages: 366

ISBN-13: 3039285203

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The present book contains 20 articles collected from amongst the 53 total submitted manuscripts for the Special Issue “Fuzzy Sets, Fuzzy Loigic and Their Applications” of the MDPI journal Mathematics. The articles, which appear in the book in the series in which they were accepted, published in Volumes 7 (2019) and 8 (2020) of the journal, cover a wide range of topics connected to the theory and applications of fuzzy systems and their extensions and generalizations. This range includes, among others, management of the uncertainty in a fuzzy environment; fuzzy assessment methods of human-machine performance; fuzzy graphs; fuzzy topological and convergence spaces; bipolar fuzzy relations; type-2 fuzzy; and intuitionistic, interval-valued, complex, picture, and Pythagorean fuzzy sets, soft sets and algebras, etc. The applications presented are oriented to finance, fuzzy analytic hierarchy, green supply chain industries, smart health practice, and hotel selection. This wide range of topics makes the book interesting for all those working in the wider area of Fuzzy sets and systems and of fuzzy logic and for those who have the proper mathematical background who wish to become familiar with recent advances in fuzzy mathematics, which has entered to almost all sectors of human life and activity.

Fireworks Algorithm
Fireworks Algorithm

Author: Ying Tan

Publisher: Springer

Published: 2015-10-11

Total Pages: 344

ISBN-13: 3662463539

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This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.

Integrated Uncertainty in Knowledge Modelling and Decision Making
Integrated Uncertainty in Knowledge Modelling and Decision Making

Author: Van-Nam Huynh

Publisher: Springer Nature

Published: 2020-11-02

Total Pages: 438

ISBN-13: 3030625095

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This book constitutes the refereed proceedings of the 8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020, held in Phuket, Thailand, in November 2020.* The 35 full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; machine learning; machine learning applications; econometric applications; and statistical methods. * The conference was held virtually due to the COVID-19 pandemic.