
Fuzzy Statistical Decision-Making by Cengiz Kahraman
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.-
Fuzzy Logic, Smart Control, and the Future of Essential Oils
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Uncertain Portfolio Selection
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Bipolar Complex Fuzzy Sets
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Representations for Genetic and Evolutionary Algorithms
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The Book of Dede Korkut and Fuzzy Logic
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Meandering Around Fuzziness
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Fuzzy Models in Economics
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Fuzzy Graph Theory
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Fuzzy Fractional Differential Operators and Equations
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Integrating Soft Computing into Strategic Prospective Methods
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FineKinney-Based Fuzzy Multi-criteria Occupational Risk Assessment
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Recent Developments and the New Directions of Research, Foundations, and Applications
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Intelligent Systems and Applications in Business and Finance
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Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain
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Recent Developments and the New Direction in Soft-Computing Foundations and Applications
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Fuzzy Mathematical Analysis and Advances in Computational Mathematics
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Decision Making with Spherical Fuzzy Sets
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Interval-Valued Methods in Classifications and Decisions
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How Fuzzy Concepts Contribute to Machine Learning
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Double Hierarchy Linguistic Term Set and Its Extensions
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Data Envelopment Analysis with R
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A General Theory of Entropy
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An Introduction to Analytical Fuzzy Plane Geometry
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More-for-Less Solutions in Fuzzy Transportation Problems
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Neutrosophic Paradigms: Advancements in Decision Making and Statistical Analysis
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Fuzzy Semirings with Applications to Automata Theory
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Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems
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Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics
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Soft Computing for Reservoir Characterization and Modeling
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Fuzzy Optimization
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Fuzziness and Foundations of Exact and Inexact Sciences
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Production Engineering and Management under Fuzziness
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Soft Computing Applications in Optimization, Control, and Recognition
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Autonomous Robotic Systems
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Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences
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Fuzzy Cognitive Maps
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Soft Computing in XML Data Management
“The chapters are presented in intuitive, appealing manner and logical order, making the book as accessible to the widest possible readership… The book offers advanced methods in the field, useful practical examples and figures. The book contributes stimulating and substantial knowledge for the benefit of a host of research community and exhibits the use and practicality of the wonderful discipline statistical science. … this book will be of interest to researchers in fuzzy statistics and related fields.” (S. Ejaz Ahmed, Technometrics, Vol. 58, November, 2016)
Prof. Kahraman received his BSc (1988), MSc (1990), and PhD (1996) degrees in Industrial Engineering from the Istanbul Technical University. His main research areas include engineering economics, quality management and control, statistical decision making, and fuzzy sets applications. He has published about 150 papers in international journals and more than 5 books with Springer. He has served as guest editor of many special issues of international journals and is presently the Head of the Industrial Engineering department of the Istanbul Technical University. Dr. Özgür Kabak received his BSc (2001), MSc (2003), and PhD (2008) degrees in Industrial Engineering from the Istanbul Technical University. He is currently Assistant Professor of Industrial Engineering in the same University. His main research areas are fuzzy decision making, mathematical programming and statistical decision making.
| SKU | Unavailable |
| ISBN 13 | 9783319390123 |
| ISBN 10 | 3319390120 |
| Title | Fuzzy Statistical Decision-Making |
| Author | Cengiz Kahraman |
| Series | Studies In Fuzziness And Soft Computing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2016-07-26 |
| Number of pages | 356 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

























































