Theory and applications of ordered fuzzy numbers : a tribute to Professor Witold Kosiński /
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 lea...
| Other Authors: | , , , , , , , , |
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| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint : Springer,
2017
Cham, Switzerland : SpringerOpen, 2017 |
| Series: | Studies in fuzziness and soft computing ;
356 Studies in fuzziness and soft computing ; v. 356 |
| Subjects: |
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| 245 | 0 | 0 | |a Theory and applications of ordered fuzzy numbers : |b a tribute to Professor Witold Kosiński / |c Piotr Prokopowicz, Jacek Czerniak, Dariusz Mikołajewski, Łukasz Apiecionek, Dominik Ślȩzak, editors |
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint : |b Springer, |c 2017 | |
| 264 | 1 | |a Cham, Switzerland : |b SpringerOpen, |c 2017 | |
| 300 | |a 1 online resource (XVIII, 322 pages 156 illustrations, 106 illustrations in color.) : |b online resource | ||
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| 490 | 1 | |a Studies in Fuzziness and Soft Computing, |x 1434-9922 ; |v 356 | |
| 490 | 1 | |a Studies in fuzziness and soft computing, |x 1434-9922 ; |v volume 356 | |
| 505 | 0 | |a Intro; Foreword; Memories of Professor Witold Kosiński; Scientific Development; Scientific and Academic Achievements (Part I); Scientific and Academic Achievements (Part II); Scientific Collaboration; Teaching and Supervision; Scientific and Social Services; Personality and Memoires; Acknowledgements; Contents; Part I Background of Fuzzy Set Theory; 1 Introduction to Fuzzy Sets; 1.1 Classic and Fuzzy Sets; 1.2 Fuzzy Sets -- Basic Definitions; 1.3 Extension Principle; 1.4 Fuzzy Relations; 1.5 Cylindrical Extension and Projection of a Fuzzy Set; 1.6 Fuzzy Numbers; 1.7 Summary; References | |
| 505 | 0 | |a Introduction to fuzzy sets.- Introduction to fuzzy systems.- Ordered fuzzy numbers: sources and intuitions.- Ordered fuzzy numbers: definitions and operations.- Processing the direction with ordered fuzzy numbers.- Some cases of comparing fuzzy numbers using defuzzificators on the catalog of OFN shapes.- Two approaches to fuzzy implication.- The approach to capital budgeting under uncertainty and risk based on Ordered Fuzzy Numbers.- Input-Output Model Based on Ordered Fuzzy Numbers.- Ordered Fuzzy Candlesticks -- financial data representation and analysis using Ordered Fuzzy Numbers.- Application of Ordered Fuzzy Numbers to detect trends in the Nasdaq composite index.- The OFNAnt method based on Ant Colony Optimization used to solve the TSP.- A new OFNBee method as an example of fuzzy observance applied for ABC optimization.- Fuzzy observation of DDoS attack.- Fuzzy control for secure TCP transfer.- Fuzzy Numbers applied to a heat furnace control.- Traditional vs OFN-based analysis of temporo-spatial gait parameters.- OFN-based brain function modeling | |
| 505 | 8 | |a 2 Introduction to Fuzzy Systems2.1 Introduction; 2.2 Fuzzy Conditional Rules; 2.3 Approximate Reasoning; 2.3.1 Compositional Rule of Inference; 2.3.2 Approximate Reasoning with Knowledge Base; 2.3.3 Fuzzification and Defuzzification; 2.4 Basic Types of Fuzzy Systems; 2.4.1 Mamdani -- Assilan Fuzzy Model; 2.4.2 Takagi -- Sugeno -- Kang Fuzzy System; 2.4.3 Tsukamoto Fuzzy System; 2.5 Summary; References; Part II Theory of Ordered Fuzzy Numbers; 3 Ordered Fuzzy Numbers: Sources and Intuitions; 3.1 Introduction; 3.2 Problems with Calculations on Fuzzy Numbers; 3.3 Related Work | |
| 505 | 8 | |a 3.4 Decomposition of Fuzzy Memberships3.5 Idea of Ordered Fuzzy Numbers; 3.6 Summary; References; 4 Ordered Fuzzy Numbers: Definitions and Operations; 4.1 Introduction; 4.2 The Ordered Fuzzy Number Model; 4.3 Basic Notions for OFNs; 4.3.1 Standard Representation of OFNs; 4.3.2 OFN Support; 4.3.3 OFN Membership Function; 4.3.4 Real Numbers as OFN Singletons; 4.4 Improper OFNs; 4.5 Basic Operations on OFNs; 4.5.1 Addition and Subtraction; 4.5.2 Multiplication and Division; 4.5.3 General Model of Operations; 4.5.4 Solving Equations; 4.6 Interpretations of OFNs; 4.6.1 Direction as a Trend | |
| 505 | 8 | |a 4.6.2 Validity of Operations4.6.3 The Meaning of Improper OFNs; 4.7 Summary and Further Intuitions; References; 5 Processing Direction with Ordered Fuzzy Numbers; 5.1 Introduction; 5.2 Direction Measurement Tool; 5.2.1 The PART Function; 5.2.2 The Direction Determinant; 5.3 Compatibility Between OFNs; 5.4 Inference Sensitive to Direction; 5.4.1 Directed Inference Operation; 5.4.2 Examples; 5.5 Aggregation of OFNs; 5.5.1 The Aggregation's Basic Properties; 5.5.2 Arithmetic Mean Directed Aggregation; 5.5.3 Aggregation for Premise Parts of Fuzzy Rules; 5.6 Summary; References | |
| 505 | 8 | |a 6 Comparing Fuzzy Numbers Using Defuzzificators on OFN Shapes6.1 Introduction; 6.2 Formal Approach to the Problem; 6.3 Defuzzification Methods; 6.3.1 Defuzzification Methods for OFN; 6.4 Definition of Golden Ratio Defuzzification Operator; 6.4.1 Golden Ratio for OFN; 6.5 Golden Ratio; 6.6 Defuzzification Conditions for GR; 6.6.1 Normalization; 6.6.2 Restricted Additivity; 6.6.3 Homogeneity; 6.7 Definition of Mandala Factor Defuzzification Operator; 6.8 Mandala Factor; 6.9 Defuzzification Conditions for MF; 6.9.1 Normalization; 6.9.2 Restricted Additivity; 6.9.3 Homogeneity | |
| 506 | 0 | |a Open access |5 GW5XE | |
| 520 | |a 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 | ||
| 520 | |a This book is open access undera 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 | ||
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| 700 | 1 | |a Apiecionek, Łukasz, |e editor | |
| 700 | 1 | |a Czerniak, Jacek, |e editor | |
| 700 | 1 | |a Kosiński, Witold, |e honouree | |
| 700 | 1 | |a Kosiński, Witold, |e honouree | |
| 700 | 1 | |a Mikołajewski, Dariusz, |e editor | |
| 700 | 1 | |a Prokopowicz, Piotr, |e editor | |
| 700 | 1 | |a Ślȩzak, Dominik |e editor. | |
| 700 | 1 | |a Ślęzak, Dominik, |e editor | |
| 700 | 1 | |a Ślęzak, Dominik, |e editor | |
| 776 | 0 | 8 | |i Print version: |t Theory and applications of ordered fuzzy numbers |d Cham, Switzerland : SpringerOpen, 2017 |z 9783319596136 |z 3319596136 |w (OCoLC)985082151 |
| 776 | 0 | 8 | |i Print version: |t Theory and applications of ordered fuzzy numbers. |d Cham, Switzerland : SpringerOpen, 2017 |z 9783319596136 |z 3319596136 |w (OCoLC)985082151 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319596136 |
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| 830 | 0 | |a Studies in fuzziness and soft computing ; |v v. 356 |x 1434-9922 | |
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