Fuzzy Statistical Decision Making

Author: Cengiz Kahraman
Publisher: Springer
ISBN: 3319390147
Format: PDF, Kindle
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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.

Decision Making Process

Author: Denis Bouyssou
Publisher: John Wiley & Sons
ISBN: 1118619528
Format: PDF, Mobi
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This book provides an overview of the main methods and results inthe formal study of the human decision-making process, as definedin a relatively wide sense. A key aim of the approach containedhere is to try to break down barriers between various disciplinesencompassed by this field, including psychology, economics andcomputer science. All these approaches have contributed to progressin this very important and much-studied topic in the past, but nonehave proved sufficient so far to define a complete understanding ofthe highly complex processes and outcomes. This book provides thereader with state-of-the-art coverage of the field, essentiallyforming a roadmap to the field of decision analysis. The first part of the book is devoted to basic concepts andtechniques for representing and solving decision problems, rangingfrom operational research to artificial intelligence. Laterchapters provide an extensive overview of the decision-makingprocess under conditions of risk and uncertainty. Finally, thereare chapters covering various approaches to multi-criteriadecision-making. Each chapter is written by experts in the topicconcerned, and contains an extensive bibliography for furtherreading and reference.

Fuzzy Optimization

Author: Weldon A. Lodwick
Publisher: Springer Science & Business Media
ISBN: 3642139345
Format: PDF
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This potent area of technology allows us to formulate and solve a multitude of problems. Written by leading experts, this overview covers a number of aspects of fuzzy optimization, some related general issues, and various applications of this powerful tool.

Fifty Years of Fuzzy Logic and its Applications

Author: Dan E. Tamir
Publisher: Springer
ISBN: 3319196839
Format: PDF, Kindle
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This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

Extremal Fuzzy Dynamic Systems

Author: Gia Sirbiladze
Publisher: Springer Science & Business Media
ISBN: 1461442494
Format: PDF, Kindle
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Presenting a fresh approach to the fuzzy modeling of dynamic processes in systems science research, this book’s coverage of both theory and key applications incorporates time as a source of fuzziness and treats applied EFD systems such as software libraries.

Fuzzy Applications in Industrial Engineering

Author: Cengiz Kahraman
Publisher: Springer
ISBN: 354033517X
Format: PDF, ePub, Mobi
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After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

Views on Fuzzy Sets and Systems from Different Perspectives

Author: Rudolf Seising
Publisher: Springer
ISBN: 3540938028
Format: PDF, ePub, Docs
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In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences and engineering and it is well on its way to becoming normal in the soft sciences as well. This book is a collection of the views of numerous scholars in different parts of the world who are involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy. This volume demonstrates that there are many different views of the theory of fuzzy sets and systems and of their interpretation and applications in diverse areas of our cultural and social life.

Cost Benefit Analysis and the Theory of Fuzzy Decisions

Author: K. K. Dompere
Publisher: Springer Science & Business Media
ISBN: 9783540221548
Format: PDF, Kindle
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This monograph is devoted to the identification and measurement theory of costs and benefits in a fuzzy information environment. The process of cost-benefit analysis is presented, requiring the development of real cost-benefit databases and the construction of cost-benefit criterion. These steps are accomplished with various theoretical constructs that provide sets of self-contained algorithms for application. This book integrates cost-benefit analysis, theory of fuzzy decisions and social decisions into unified decision algorithms accessible to practitioners, researchers, and graduate students. It features the essentials of fuzzy mathematics and algorithms in a comprehensive way, exposing a multi-disciplinary approach for the development of cost-benefit decision making in the framework of fuzziness and soft computing.

First Course on Fuzzy Theory and Applications

Author: Kwang Hyung Lee
Publisher: Springer Science & Business Media
ISBN: 9783540229889
Format: PDF, Mobi
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Fuzzy theory has become a subject that generates much interest among the courses for graduate students. However, it was not easy to find a suitable textbook to use in the introductory course and to recommend to the students who want to self-study. The main purpose of this book is just to meet that need. The author has given lectures on the fuzzy theory and its applications for ten years and continuously developed lecture notes on the subject. This book is a publication of the modification and summary of the lecture notes. The fundamental idea of the book is to provide basic and concrete concepts of the fuzzy theory and its applications, and thus the author focused on easy illustrations of the basic concepts. There are numerous examples and figures to help readers to understand and also added exercises at the end of each chapter. This book consists of two parts: a theory part and an application part. The first part (theory part) includes chapters from 1 to 8. Chapters 1 and 2 introduce basic concepts of fuzzy sets and operations, and Chapters 3 and 4 deal with the multi-dimensional fuzzy sets. Chapters 5 and 6 are extensions of the fuzzy theory to the number and function, and Chapters 7 and 8 are developments of fuzzy properties on the probability and logic theories.