How Fuzzy Concepts Contribute to Machine Learning by Mahdi Eftekhari
This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction.-
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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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
| SKU | Unavailable |
| ISBN 13 | 9783030940683 |
| ISBN 10 | 3030940683 |
| Title | How Fuzzy Concepts Contribute to Machine Learning |
| Author | Mahdi Eftekhari |
| Series | Studies In Fuzziness And Soft Computing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2023-02-17 |
| Number of pages | 167 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |