Fuzzy Dual Numbers

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Fuzzy Dual Numbers

Author : Felix Mora-Camino
Publisher : Springer
ISBN 13 : 3319654187
Total Pages : 68 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Fuzzy Dual Numbers by : Felix Mora-Camino

Download or read book Fuzzy Dual Numbers written by Felix Mora-Camino and published by Springer. This book was released on 2017-10-02 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book focusing exclusively on fuzzy dual numbers. In addition to offering a concise guide to their properties, operations and applications, it discusses some of their advantages with regard to classical fuzzy numbers, and describes the most important operations together with a set of interesting applications in e.g. optimization, decision-making and system design. The book provides students, researchers and professionals the necessary theoretical background to apply this particular subset of fuzzy numbers to decision-making problems involving uncertainty. Further, it shows how to solve selected engineering and management problems and includes detailed numerical examples.

Dual Numbers

Author : W. B. Vasantha Kandasamy, Florentin Smarandache
Publisher : Infinite Study
ISBN 13 : 1599731843
Total Pages : 161 pages
Book Rating : 4.5/5 (997 download)

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Book Synopsis Dual Numbers by : W. B. Vasantha Kandasamy, Florentin Smarandache

Download or read book Dual Numbers written by W. B. Vasantha Kandasamy, Florentin Smarandache and published by Infinite Study. This book was released on with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Systems and Data MiningII

Author : S.-L. Sun
Publisher : IOS Press
ISBN 13 : 1614997225
Total Pages : 652 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Fuzzy Systems and Data MiningII by : S.-L. Sun

Download or read book Fuzzy Systems and Data MiningII written by S.-L. Sun and published by IOS Press. This book was released on 2016-11-24 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy systems and data mining are now an essential part of information technology and data management, with applications affecting every imaginable aspect of our daily lives. This book contains 81 selected papers from those accepted and presented at the 2nd international conference on Fuzzy Systems and Data Mining (FSDM2016), held in Macau, China, in December 2016. This annual conference focuses on 4 main groups of topics: fuzzy theory, algorithm and system; fuzzy applications; the interdisciplinary field of fuzzy logic and data mining; and data mining, and the event provided a forum where more than 100 qualified, high-level researchers and experts from over 20 countries, including 4 keynote speakers, gathered to create an important platform for researchers and engineers worldwide to engage in academic communication. All the papers collected here present original ideas, methods and results of general significance supported by clear reasoning and compelling evidence, and as such the book represents a valuable and wide ranging reference resource of interest to all those whose work involves fuzzy systems and data mining.

Theory and Applications of Ordered Fuzzy Numbers

Author : Piotr Prokopowicz
Publisher : Springer
ISBN 13 : 3319596144
Total Pages : 330 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Theory and Applications of Ordered Fuzzy Numbers by : Piotr Prokopowicz

Download or read book Theory and Applications of Ordered Fuzzy Numbers written by Piotr Prokopowicz and published by Springer. This book was released on 2017-10-18 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license. This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications. The respective chapters, written by leading researchers, discuss the main techniques and applications, together with the advantages and shortcomings of these tools in comparison to other fuzzy number representation models. Primarily intended for engineers and researchers in the field of fuzzy arithmetic, the book also offers a valuable source of basic information on fuzzy models and an easy-to-understand reference guide to their applications for advanced undergraduate students, operations researchers, modelers and managers alike.

Fuzzy Preference Ordering of Interval Numbers in Decision Problems

Author : Atanu Sengupta
Publisher : Springer Science & Business Media
ISBN 13 : 3540899146
Total Pages : 168 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Fuzzy Preference Ordering of Interval Numbers in Decision Problems by : Atanu Sengupta

Download or read book Fuzzy Preference Ordering of Interval Numbers in Decision Problems written by Atanu Sengupta and published by Springer Science & Business Media. This book was released on 2009-03-13 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are mainly generated in two ways – (1) due to imprecise perception and knowledge of the human expert followed by vague representation of knowledge as a DM; (2) due to huge-ness and complexity of relations and data structure in the definition of the problem situation. We use interval numbers to specify inexact or imprecise or uncertain data. Consequently, the study of a decision problem requires answering the following initial questions: How should we compare and define preference ordering between two intervals?, interpret and deal inequality relations involving interval coefficients?, interpret and make way towards the goal of the decision problem? The present research work consists of two closely related fields: approaches towards defining a generalized preference ordering scheme for interval attributes and approaches to deal with some issues having application potential in many areas of decision making.

Readings in Fuzzy Sets for Intelligent Systems

Author : Didier J. Dubois
Publisher : Morgan Kaufmann
ISBN 13 : 1483214508
Total Pages : 929 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Readings in Fuzzy Sets for Intelligent Systems by : Didier J. Dubois

Download or read book Readings in Fuzzy Sets for Intelligent Systems written by Didier J. Dubois and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.

Intelligent and Fuzzy Techniques in Aviation 4.0

Author : Cengiz Kahraman
Publisher : Springer Nature
ISBN 13 : 3030750671
Total Pages : 545 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Intelligent and Fuzzy Techniques in Aviation 4.0 by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques in Aviation 4.0 written by Cengiz Kahraman and published by Springer Nature. This book was released on 2021-08-26 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide for the theory and practice of intelligent and fuzzy techniques in Aviation 4.0. It provides readers with the necessary intelligent and fuzzy tools for Aviation 4.0 when incomplete, vague, and imprecise information or insufficient data exist in hand, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including baggage services, catering services, check-in and boarding services, maintenance and cargo management, security, etc. To foster reader comprehension, all 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 Aviation 4.0. Moreover, by extending all the main aspects of Aviation 4.0 to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.

Flows in Networks Under Fuzzy Conditions

Author : Alexander Vitalievich Bozhenyuk
Publisher : Springer
ISBN 13 : 3319416189
Total Pages : 175 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Flows in Networks Under Fuzzy Conditions by : Alexander Vitalievich Bozhenyuk

Download or read book Flows in Networks Under Fuzzy Conditions written by Alexander Vitalievich Bozhenyuk and published by Springer. This book was released on 2016-07-30 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a concise introduction to flow theory and tasks, the book analyzes two important problems. The first is related to determining the maximum volume for cargo transportation in the presence of uncertain network parameters, such as environmental changes, measurement errors and repair work on the roads. These parameters are represented here as fuzzy triangular, trapezoidal numbers and intervals. The second problem concerns static and dynamic flow finding in networks under fuzzy conditions, and an effective method that takes into account the network’s transit parameters is presented here. All in all, the book provides readers with a practical reference guide to state-of-the art fuzzy methods for solving flow tasks and offers a valuable resource for all researchers and postgraduate students in the fields of network theory, fuzzy models and decision-making.

Fuzzy Engineering and Operations Research

Author : Bing-Yuan Cao
Publisher : Springer Science & Business Media
ISBN 13 : 3642285929
Total Pages : 580 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Fuzzy Engineering and Operations Research by : Bing-Yuan Cao

Download or read book Fuzzy Engineering and Operations Research written by Bing-Yuan Cao and published by Springer Science & Business Media. This book was released on 2012-06-30 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Fuzzy Engineering and Operations Research” is the edited outcome of the 5th International Conference on Fuzzy Information and Engineering (ICFIE2011) held during Oct. 15-17, 2011 in Chengdu, China and by the 1st academic conference in establishment of Guangdong Province Operations Research Society (GDORSC) held on Oct. 20, 2011 in Guangzhou, China. The 5th ICFIE2011, built on the success of previous conferences, and the GDORC, first held, are major Symposiums, respectively, for scientists, engineers practitioners and Operation Research (OR) researchers presenting their updated results, developments and applications in all areas of fuzzy information and engineering and OR. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in Fuzziology and OR fields. The book contains 62 papers and is divided into five main parts: “Fuzzy Optimization, Logic and Information”, “The mathematical Theory of Fuzzy Systems”, “Fuzzy Engineering Applications and Soft Computing Methods”, “OR and Fuzziology” and “Guess and Review”.

An Introduction to Fuzzy Linear Programming Problems

Author : Jagdeep Kaur
Publisher : Springer
ISBN 13 : 331931274X
Total Pages : 132 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis An Introduction to Fuzzy Linear Programming Problems by : Jagdeep Kaur

Download or read book An Introduction to Fuzzy Linear Programming Problems written by Jagdeep Kaur and published by Springer. This book was released on 2016-04-02 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming. The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers. It presents new methods developed by the authors, as well as existing methods developed by others, and their application to real-world problems, including fuzzy transportation problems. Moreover, it compares the outcomes of the different methods and discusses their advantages/disadvantages. As the first work to collect at one place the most important methods for solving fuzzy linear programming problems, the book represents a useful reference guide for students and researchers, providing them with the necessary theoretical and practical knowledge to deal with linear programming problems under uncertainty.

Encyclopedia of Computer Science and Technology

Author : Phillip A. Laplante
Publisher : CRC Press
ISBN 13 : 1351652494
Total Pages : 1013 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Encyclopedia of Computer Science and Technology by : Phillip A. Laplante

Download or read book Encyclopedia of Computer Science and Technology written by Phillip A. Laplante and published by CRC Press. This book was released on 2017-10-02 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology.

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.

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

Author : Wen Yu
Publisher : John Wiley & Sons
ISBN 13 : 111949155X
Total Pages : 200 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number by : Wen Yu

Download or read book Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number written by Wen Yu and published by John Wiley & Sons. This book was released on 2019-07-02 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book: Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equations Includes an overview of uncertain nonlinear systems for non-specialists Teaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development Reinforces comprehension with illustrations, tables, examples, and simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.

Optimal Models and Methods with Fuzzy Quantities

Author : Bing-Yuan Cao
Publisher : Springer
ISBN 13 : 3642107125
Total Pages : 383 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Optimal Models and Methods with Fuzzy Quantities by : Bing-Yuan Cao

Download or read book Optimal Models and Methods with Fuzzy Quantities written by Bing-Yuan Cao and published by Springer. This book was released on 2010-03-10 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book studies optimized models with fuzzy quantities. It can be used by undergraduates in higher education, master graduates and doctor graduates. It also serves as a reference for researchers, particularly for those in the field of soft science.

Fuzzy Set and Its Extension

Author : Tamalika Chaira
Publisher : John Wiley & Sons
ISBN 13 : 111954419X
Total Pages : 304 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Fuzzy Set and Its Extension by : Tamalika Chaira

Download or read book Fuzzy Set and Its Extension written by Tamalika Chaira and published by John Wiley & Sons. This book was released on 2019-04-23 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides detailed mathematical exposition of the fundamentals of fuzzy set theory, including intuitionistic fuzzy sets This book examines fuzzy and intuitionistic fuzzy mathematics and unifies the latest existing works in literature. It enables readers to fully understand the mathematics of both fuzzy set and intuitionistic fuzzy set so that they can use either one in their applications. Each chapter of Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set begins with an introduction, theory, and several examples to guide readers along. The first one starts by laying the groundwork of fuzzy/intuitionistic fuzzy sets, fuzzy hedges, and fuzzy relations. The next covers fuzzy numbers and explains Zadeh's extension principle. Then comes chapters looking at fuzzy operators; fuzzy similarity measures and measures of fuzziness; and fuzzy/intuitionistic fuzzy measures and fuzzy integrals. The book also: discusses the definition and properties of fuzzy measures; examines matrices and determinants of a fuzzy matrix; and teaches about fuzzy linear equations. Readers will also learn about fuzzy subgroups. The second to last chapter examines the application of fuzzy and intuitionistic fuzzy mathematics in image enhancement, segmentation, and retrieval. Finally, the book concludes with coverage the extension of fuzzy sets. This book: Covers both fuzzy and intuitionistic fuzzy sets and includes examples and practical applications Discusses intuitionistic fuzzy integrals and recent aggregation operators using Choquet integral, with examples Includes a chapter on applications in image processing using fuzzy and intuitionistic fuzzy sets Explains fuzzy matrix operations and features examples Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set is an ideal text for graduate and research students, as well as professionals, in image processing, decision-making, pattern recognition, and control system design.

Multiple Criteria Decision Analysis: State of the Art Surveys

Author : José Figueira
Publisher : Springer Science & Business Media
ISBN 13 : 9780387230672
Total Pages : 1100 pages
Book Rating : 4.2/5 (36 download)

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Book Synopsis Multiple Criteria Decision Analysis: State of the Art Surveys by : José Figueira

Download or read book Multiple Criteria Decision Analysis: State of the Art Surveys written by José Figueira and published by Springer Science & Business Media. This book was released on 2005 with total page 1100 pages. Available in PDF, EPUB and Kindle. Book excerpt: MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis literature. These literature streams are: MCDA today, Foundations of MCDA, Our Ranking Methods, Multiattribute Utility Theory, Non-Classical MCDA Approaches, Multiobjective Mathematical Programming, Applications, and MCDM Software. The handbook presents the most up-to-date discussions on well-established methodologies and theories in the field, while systematically surveying emerging fields in MCDA such as conjoint measurement, fuzzy preferences, fuzzy integrals, rough sets, etc. MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is a valuable reference volume (more than 2000 references) for the field of decision analysis. It provides graduate students, researchers, and practitioners with a sweeping survey of MCDA theory, methodologies, and applications. It is a handbook that is particularly suitable for use in seminars in Decision Analysis, Decision Support, and Decision Theory.

Optimization Techniques for Problem Solving in Uncertainty

Author : Tilahun, Surafel Luleseged
Publisher : IGI Global
ISBN 13 : 1522550925
Total Pages : 313 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Optimization Techniques for Problem Solving in Uncertainty by : Tilahun, Surafel Luleseged

Download or read book Optimization Techniques for Problem Solving in Uncertainty written by Tilahun, Surafel Luleseged and published by IGI Global. This book was released on 2018-06-22 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.