Advances In Fuzzy Decision Making


Advances In Fuzzy Decision Making
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Advances In Fuzzy Decision Making


Advances In Fuzzy Decision Making
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Author : Iwona Skalna
language : en
Publisher:
Release Date : 2015

Advances In Fuzzy Decision Making written by Iwona Skalna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike.



Advances In Fuzzy Group Decision Making


Advances In Fuzzy Group Decision Making
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Author : Tin-Chih Toly Chen
language : en
Publisher: Springer Nature
Release Date : 2021-09-15

Advances In Fuzzy Group Decision Making written by Tin-Chih Toly Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with Computers categories.


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.



Advances In Fuzzy Decision Theory And Applications


Advances In Fuzzy Decision Theory And Applications
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Author : Jun Ye
language : en
Publisher: Mdpi AG
Release Date : 2023-12-20

Advances In Fuzzy Decision Theory And Applications written by Jun Ye and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Mathematics categories.


In the realm of complex decision making, characterized by inherent incompleteness and uncertainty, the foundational work of Lotfi A. Zadeh on fuzzy set theory has been instrumental. The efficacy of classical fuzzy sets in addressing vagueness has prompted an exploration of various extensions, each catering to the intricacies of real-world decision-making problems. This reprint delves into an array of advanced fuzzy theories, including type-2 fuzzy sets, hesitant fuzzy sets, multivalued fuzzy sets, cubic sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets, neutrosophic sets, and more. The richness of these extensions reflects the dynamism of fuzzy theories in diverse decision-making applications.



Theoretical And Practical Advancements For Fuzzy System Integration


Theoretical And Practical Advancements For Fuzzy System Integration
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Author : Li, Deng-Feng
language : en
Publisher: IGI Global
Release Date : 2017-01-05

Theoretical And Practical Advancements For Fuzzy System Integration written by Li, Deng-Feng and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-05 with Mathematics categories.


In real management situations, uncertainty is inherently present in decision making. As such, it is increasingly imperative to research and develop new theories and methods of fuzzy sets. Theoretical and Practical Advancements for Fuzzy System Integration is a pivotal reference source for the latest scholarly research on the importance of expressing and measuring fuzziness in order to develop effective and practical decision making models and methods. Featuring coverage on an expansive range of perspectives and topics, such as fuzzy logic control, intuitionistic fuzzy set theory, and defuzzification, this book is ideally designed for academics, professionals, and researchers seeking current research on theoretical frameworks and real-world applications in the area of fuzzy sets and systems.



Fuzzy Multi Criteria Decision Making


Fuzzy Multi Criteria Decision Making
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Author : Cengiz Kahraman
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-09

Fuzzy Multi Criteria Decision Making written by Cengiz Kahraman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-09 with Computers categories.


This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.



Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods And Their Applications


Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods And Their Applications
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Author : Zhinan Hao
language : en
Publisher: Springer Nature
Release Date : 2020-03-14

Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods And Their Applications written by Zhinan Hao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-14 with Business & Economics categories.


This book introduces readers to the latest advances in and approaches to intuitionistic fuzzy decision-making methods. To do so, it explores a range of applications to practical decision-making problems, together with representative case studies. Examining a host of decision-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision-making methods in the intuitionistic fuzzy environment. Chiefly intended for practitioners and researchers working in the areas of risk management, decision-making under uncertainty, and operational research, the book can also be used as supplementary material for graduate and senior undergraduate courses in these areas.



Recent Advances In Decision Making


Recent Advances In Decision Making
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Author : Elisabeth Rakus-Andersson
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-08-04

Recent Advances In Decision Making written by Elisabeth Rakus-Andersson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-04 with Business & Economics categories.


Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.



Fuzzy Logic Control


Fuzzy Logic Control
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Author : H. B. Verbruggen
language : en
Publisher: World Scientific
Release Date : 1999

Fuzzy Logic Control written by H. B. Verbruggen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Technology & Engineering categories.


Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.



Advances In Fuzzy Decision Making


Advances In Fuzzy Decision Making
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Author : Iwona Skalna
language : en
Publisher: Springer
Release Date : 2015-11-06

Advances In Fuzzy Decision Making written by Iwona Skalna and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Technology & Engineering categories.


This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike.



Fuzzy Statistical Decision Making


Fuzzy Statistical Decision Making
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Author : Cengiz Kahraman
language : en
Publisher: Springer
Release Date : 2016-07-15

Fuzzy Statistical Decision Making written by Cengiz Kahraman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-15 with Technology & Engineering categories.


This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.