Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods And Their Applications

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Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications

Author : Zhinan Hao
Publisher : Springer Nature
ISBN 13 : 9811538913
Total Pages : 127 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications by : Zhinan Hao

Download or read book Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications written by Zhinan Hao and published by Springer Nature. This book was released on 2020-03-14 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets

Author : Shuping Wan
Publisher : Springer Nature
ISBN 13 : 9811515212
Total Pages : 326 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets by : Shuping Wan

Download or read book Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets written by Shuping Wan and published by Springer Nature. This book was released on 2020-02-03 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors’ latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.

Uncertain Multi-Attribute Decision Making

Author : Zeshui Xu
Publisher : Springer
ISBN 13 : 3662456400
Total Pages : 375 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Uncertain Multi-Attribute Decision Making by : Zeshui Xu

Download or read book Uncertain Multi-Attribute Decision Making written by Zeshui Xu and published by Springer. This book was released on 2015-02-05 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a reference guide for researchers and practitioners working in e.g. the fields of operations research, information science, management science and engineering. It can also be used as a textbook for postgraduate and senior undergraduate students.

Intuitionistic Fuzzy Information Aggregation

Author : Zeshui Xu
Publisher : Springer Science & Business Media
ISBN 13 : 3642295843
Total Pages : 317 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intuitionistic Fuzzy Information Aggregation by : Zeshui Xu

Download or read book Intuitionistic Fuzzy Information Aggregation written by Zeshui Xu and published by Springer Science & Business Media. This book was released on 2013-02-20 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Intuitionistic Fuzzy Information Aggregation: Theory and Applications" is the first book to provide a thorough and systematic introduction to intuitionistic fuzzy aggregation methods, the correlation, distance and similarity measures of intuitionistic fuzzy sets and various decision-making models and approaches based on the above-mentioned information processing tools. Through numerous practical examples and illustrations with tables and figures, it offers researchers and professionals in the fields of fuzzy mathematics, information fusion and decision analysis the most recent research findings, developed by the authors. Zeshui Xu is a Professor at the PLA University of Science and Technology, China. Xiaoqiang Cai is a Professor at the Chinese University of Hong Kong, China.

Interval-Valued Intuitionistic Fuzzy Sets

Author : Krassimir T. Atanassov
Publisher : Springer Nature
ISBN 13 : 3030320901
Total Pages : 200 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Interval-Valued Intuitionistic Fuzzy Sets by : Krassimir T. Atanassov

Download or read book Interval-Valued Intuitionistic Fuzzy Sets written by Krassimir T. Atanassov and published by Springer Nature. This book was released on 2019-09-21 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. A few interesting case studies, such as in the area of data mining, decision making and pattern recognition, among others, are discussed in detail. The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.

Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

Author : Deng-Feng Li
Publisher : Springer
ISBN 13 : 3642407129
Total Pages : 459 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Decision and Game Theory in Management With Intuitionistic Fuzzy Sets by : Deng-Feng Li

Download or read book Decision and Game Theory in Management With Intuitionistic Fuzzy Sets written by Deng-Feng Li and published by Springer. This book was released on 2013-11-12 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on establishing theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets. It proposes a series of innovative theories, models and methods such as the representation theorem and extension principle of intuitionistic fuzzy sets, ranking methods of intuitionistic fuzzy numbers, non-linear and linear programming methods for intuitionistic fuzzy multi-attribute decision making and (interval-valued) intuitionistic fuzzy matrix games. These theories and methods form the theory system of intuitionistic fuzzy decision making and games, which is not only remarkably different from those of the traditional, Bayes and/or fuzzy decision theory but can also provide an effective and efficient tool for solving complex management problems. Since there is a certain degree of inherent hesitancy in real-life management, which cannot always be described by the traditional mathematical methods and/or fuzzy set theory, this book offers an effective approach to using the intuitionistic fuzzy set expressed with membership and non-membership functions. This book is addressed to all those involved in theoretical research and practical applications from a variety of fields/disciplines: decision science, game theory, management science, fuzzy sets, operational research, applied mathematics, systems engineering, industrial engineering, economics, etc.

Fuzzy Multi-Criteria Decision Making

Author : Cengiz Kahraman
Publisher : Springer Science & Business Media
ISBN 13 : 0387768130
Total Pages : 591 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Fuzzy Multi-Criteria Decision Making by : Cengiz Kahraman

Download or read book Fuzzy Multi-Criteria Decision Making written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fuzzy Techniques for Decision Making 2018

Author : José Carlos R. Alcantud
Publisher : MDPI
ISBN 13 : 3039364154
Total Pages : 776 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Fuzzy Techniques for Decision Making 2018 by : José Carlos R. Alcantud

Download or read book Fuzzy Techniques for Decision Making 2018 written by José Carlos R. Alcantud and published by MDPI. This book was released on 2020-12-02 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Aggregation Functions Considering Criteria Interrelationships in Fuzzy Multi-Criteria Decision Making: State-of-the-Art

Author : LE SUN
Publisher : Infinite Study
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4./5 ( download)

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Book Synopsis Aggregation Functions Considering Criteria Interrelationships in Fuzzy Multi-Criteria Decision Making: State-of-the-Art by : LE SUN

Download or read book Aggregation Functions Considering Criteria Interrelationships in Fuzzy Multi-Criteria Decision Making: State-of-the-Art written by LE SUN and published by Infinite Study. This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aggregation function is an important component in an information aggregation or information fusion system. Interrelationships usually exist between the input arguments (e.g., the criteria in the multicriteria decision making) of an aggregation function. In this paper, we make a comprehensive survey on the aggregation operators (AOs) that consider the argument interrelationships in crisp and fuzzy settings. In particular, we discuss the mechanisms of modeling the argument interrelationships of the Choquet integral (CI), the power average (PA), the Bonferroni mean (BM), the Heronian mean (HM), and the Maclaurin symmetric mean (MSM) operators, and introduce their extended (e.g., generalized or weighted) forms and their applications in different fuzzy sets. In addition, we compare these ve types of operators and summarize their advantages and disadvantages. Furthermore, we discuss the applications of these operators. Finally, we identify some future research directions in the AOs considering the argument interrelationships. The reviewed papers are mainly about the development of the CI, the PA, the BM, the HM, and the MSM in (fuzzy) MCDMs, most of which fall in the period of 20092018.

Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets

Download Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets PDF Online Free

Author : Shio Gai Quek
Publisher : Infinite Study
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4./5 ( download)

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Book Synopsis Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets by : Shio Gai Quek

Download or read book Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets written by Shio Gai Quek and published by Infinite Study. This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that can describe imprecise events using four types of membership grades with no restrictions. The purpose of this manuscript is to point out the limitations of the existing intuitionistic fuzzy Einstein averaging and geometric operators and to develop some improved Einstein aggregation operators.

Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarity Measure

Author : Kalyan Mondal
Publisher : Infinite Study
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4./5 ( download)

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Book Synopsis Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarity Measure by : Kalyan Mondal

Download or read book Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarity Measure written by Kalyan Mondal and published by Infinite Study. This book was released on with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study is to propose new similarity measures namely rough variational coefficient similarity measure under the rough neutrosophic environment.

Recent Advances in Decision Making

Author : Elisabeth Rakus-Andersson
Publisher : Springer Science & Business Media
ISBN 13 : 3642021867
Total Pages : 184 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Recent Advances in Decision Making by : Elisabeth Rakus-Andersson

Download or read book Recent Advances in Decision Making written by Elisabeth Rakus-Andersson and published by Springer Science & Business Media. This book was released on 2009-08-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Sets, Fuzzy Logic and Their Applications

Author : Michael Gr. Voskoglou
Publisher : MDPI
ISBN 13 : 3039285203
Total Pages : 366 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Fuzzy Sets, Fuzzy Logic and Their Applications by : Michael Gr. Voskoglou

Download or read book Fuzzy Sets, Fuzzy Logic and Their Applications written by Michael Gr. Voskoglou and published by MDPI. This book was released on 2020-03-25 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications

Author : Olga Kosheleva
Publisher : Springer Nature
ISBN 13 : 3030310418
Total Pages : 638 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications by : Olga Kosheleva

Download or read book Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications written by Olga Kosheleva and published by Springer Nature. This book was released on 2020-02-28 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Aggregation Functions: A Guide for Practitioners

Author : Gleb Beliakov
Publisher : Springer
ISBN 13 : 3540737219
Total Pages : 361 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Aggregation Functions: A Guide for Practitioners by : Gleb Beliakov

Download or read book Aggregation Functions: A Guide for Practitioners written by Gleb Beliakov and published by Springer. This book was released on 2007-09-09 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad introduction to the topic of aggregation functions is to be found in this book. It also provides a concise account of the properties and the main classes of such functions. Some state-of-the-art techniques are presented, along with many graphical illustrations and new interpolatory aggregation functions. Particular attention is paid to identification and construction of aggregation functions from application specific requirements and empirical data.

Different Forms of Triangular Neutrosophic Numbers, De-Neutrosophication Techniques, and their Applications

Author : Avishek Chakraborty
Publisher : Infinite Study
ISBN 13 :
Total Pages : 27 pages
Book Rating : 4./5 ( download)

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Book Synopsis Different Forms of Triangular Neutrosophic Numbers, De-Neutrosophication Techniques, and their Applications by : Avishek Chakraborty

Download or read book Different Forms of Triangular Neutrosophic Numbers, De-Neutrosophication Techniques, and their Applications written by Avishek Chakraborty and published by Infinite Study. This book was released on with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we introduce the concept of neutrosophic number from different viewpoints. We define different types of linear and non-linear generalized triangular neutrosophic numbers which are very important for uncertainty theory. We introduced the de-neutrosophication concept for neutrosophic number for triangular neutrosophic numbers. This concept helps us to convert a neutrosophic number into a crisp number. The concepts are followed by two application, namely in imprecise project evaluation review technique and route selection problem.

Handbook of Research on Advances and Applications of Fuzzy Sets and Logic

Author : Broumi, Said
Publisher : IGI Global
ISBN 13 : 179987981X
Total Pages : 944 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Advances and Applications of Fuzzy Sets and Logic by : Broumi, Said

Download or read book Handbook of Research on Advances and Applications of Fuzzy Sets and Logic written by Broumi, Said and published by IGI Global. This book was released on 2022-03-04 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic, which is based on the concept of fuzzy set, has enabled scientists to create models under conditions of imprecision, vagueness, or both at once. As a result, it has now found many important applications in almost all sectors of human activity, becoming a complementary feature and supporter of probability theory, which is suitable for modelling situations of uncertainty derived from randomness. Fuzzy mathematics has also significantly developed at the theoretical level, providing important insights into branches of traditional mathematics like algebra, analysis, geometry, topology, and more. With such widespread applications, fuzzy sets and logic are an important area of focus in mathematics. The Handbook of Research on Advances and Applications of Fuzzy Sets and Logic studies recent theoretical advances of fuzzy sets and numbers, fuzzy systems, fuzzy logic and their generalizations, extensions, and more. This book also explores the applications of fuzzy sets and logic applied to science, technology, and everyday life to further provide research on the subject. This book is ideal for mathematicians, physicists, computer specialists, engineers, practitioners, researchers, academicians, and students who are looking to learn more about fuzzy sets, fuzzy logic, and their applications.