Fuzzy Techniques For Decision Making


Fuzzy Techniques For Decision Making
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Fuzzy Techniques For Decision Making


Fuzzy Techniques For Decision Making
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Author : José Carlos R. Alcantud
language : en
Publisher: MDPI
Release Date : 2018-05-18

Fuzzy Techniques For Decision Making written by José Carlos R. Alcantud and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-18 with Electronic books categories.


This book is a printed edition of the Special Issue "Fuzzy Techniques for Decision Making" that was published in Symmetry



Fuzzy Techniques For Decision Making 2018


Fuzzy Techniques For Decision Making 2018
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Author : José Carlos R. Alcantud
language : en
Publisher:
Release Date : 2020

Fuzzy Techniques For Decision Making 2018 written by José Carlos R. Alcantud and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


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.



Type 2 Fuzzy Decision Making Theories Methodologies And Applications


Type 2 Fuzzy Decision Making Theories Methodologies And Applications
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Author : Jindong Qin
language : en
Publisher: Springer
Release Date : 2019-08-09

Type 2 Fuzzy Decision Making Theories Methodologies And Applications written by Jindong Qin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-09 with Mathematics categories.


This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end. In this book, some basic theory, type-2 fuzzy sets, methodology, algorithms, are introduced and then some compelling case studies in decision problems are covered in depth. The authors offer an authoritative treatise on the essential topics, both at the theoretical and applied end; In a systematic and logically organized way, the book exposes the reader to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications. Numerous techniques of decision making are carefully generalized by bringing the ideas of type-2 fuzzy sets; this concerns well-known methods including TOPSIS, Analytical Network Process, TODIM, and VIKOR. This book exposes the readers to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications.



Techniques Of Decision Making Uncertain Reasoning And Regression Analysis Under The Hesitant Fuzzy Environment And Their Applications


Techniques Of Decision Making Uncertain Reasoning And Regression Analysis Under The Hesitant Fuzzy Environment And Their Applications
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Author : Chenyang Song
language : en
Publisher: Springer Nature
Release Date : 2021-10-03

Techniques Of Decision Making Uncertain Reasoning And Regression Analysis Under The Hesitant Fuzzy Environment And Their Applications written by Chenyang Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-03 with Business & Economics categories.


This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.



Fuzzy Logic For Planning And Decision Making


Fuzzy Logic For Planning And Decision Making
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Author : Freerk A. Lootsma
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Fuzzy Logic For Planning And Decision Making written by Freerk A. Lootsma 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 2013-03-14 with Business & Economics categories.


This book starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of Fuzzy Logic in Operations Research: PERT planning with uncertain activity durations, Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. New items are: Fuzzy PERT using activity durations with triangular membership functions, Fuzzy SMART with a sensitivity analysis based upon Fuzzy Logic, the Additive and the Multiplicative AHP with a similar feature, ELECTRE using the ideas of the AHP and SMART, and a comparative study of the ideal-point methods for MOO. Finally, earlier studies of colour perception illustrate the attempts to find a physiological basis for the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses some key issues in linguistic categorization and the prospects of Fuzzy Logic as a multi-disciplinary research activity. Audience: Researchers and students working in applied mathematics, operations research, management science, business administration, econometrics, industrial engineering, information systems, artificial intelligence, mathematical psychology, and psycho-physics.



Real Life Applications Of Multiple Criteria Decision Making Techniques In Fuzzy Domain


Real Life Applications Of Multiple Criteria Decision Making Techniques In Fuzzy Domain
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Author : Laxminarayan Sahoo
language : en
Publisher: Springer Nature
Release Date : 2022-12-01

Real Life Applications Of Multiple Criteria Decision Making Techniques In Fuzzy Domain written by Laxminarayan Sahoo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-01 with Technology & Engineering categories.


This edited book discusses creative and recent developments of fuzzy systems and its real-life applications of multiple criteria decision making. Keeping on the existing fuzzy sets and recent developed fuzzy sets, viz., intuitionistic fuzzy, Pythagorean fuzzy, Fermatean fuzzy, Hesitant fuzzy and multiple criteria decision approaches, this book is committed to probing the soft computing techniques and fuzzy multiple criteria decision making in favour of fuzzy intelligent system and business analytics. It also addresses novel development of fuzzy set theory as well as real-life applications of fuzzy systems. It presents challenging and useful real-world applications based on problems of decision making in various fields. The modelling and solution procedures of such real-world problems will be provided concisely although all topics start with a more developed resolution. The contributory chapters will be based on the vast research experiences of the authors in real-world decision-making problems. This book provides readers with a valuable conspectus of several decision-making problems as a reference for researchers and industrial practitioners in this field. This book will broadly cover recent development of fuzzy systems and its applications of multiple criteria decision making in the areas of management and production, manufacturing management, selections problems, group decision making, transportation and logistics, inventory control systems and interval technique/fuzzy technique (uncertainty) of the above mentioned areas.



Intelligent And Fuzzy Techniques In Big Data Analytics And Decision Making


Intelligent And Fuzzy Techniques In Big Data Analytics And Decision Making
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Author : Cengiz Kahraman
language : en
Publisher: Springer
Release Date : 2019-07-05

Intelligent And Fuzzy Techniques In Big Data Analytics And 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 2019-07-05 with Technology & Engineering categories.


This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.



Fuzzy Decision Making In Modeling And Control


Fuzzy Decision Making In Modeling And Control
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Author : Joao M. C. Sousa
language : en
Publisher: World Scientific
Release Date : 2002

Fuzzy Decision Making In Modeling And Control written by Joao M. C. Sousa and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.


Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered: OCo Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.OCo Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.OCo Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.OCo Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems."



Multi Objective Group Decision Making


Multi Objective Group Decision Making
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Author : Jie Lu
language : en
Publisher: World Scientific
Release Date : 2007

Multi Objective Group Decision Making written by Jie Lu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Self-Help categories.


This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.



Fuzzy Theories On Decision Making


Fuzzy Theories On Decision Making
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Author : Walter J.M. Kickert
language : en
Publisher: Springer Science & Business Media
Release Date : 1979-01-31

Fuzzy Theories On Decision Making written by Walter J.M. Kickert 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 1979-01-31 with Business & Economics categories.