
Integrating Soft Computing into Strategic Prospective Methods by Jos Verdegay
This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.
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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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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
| SKU | Unavailable |
| ISBN 13 | 9783030254346 |
| ISBN 10 | 3030254348 |
| Title | Integrating Soft Computing into Strategic Prospective Methods |
| Author | Jos Verdegay |
| Series | Studies In Fuzziness And Soft Computing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-09-06 |
| Number of pages | 230 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



































