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by László T Kóczy (Editor), Jesús Medina-Moreno (Editor), Eloísa Ramírez-Poussa (Editor), Alexander Šostak (Editor)
About the Author
László T. Kóczy, Faculty of Engineering Sciences, Széchenyi István University, Gyõr, Hungary and Budapest University of Technology and Economics, Budapest, Hungary.
Jesús Medina-Moreno, Science Faculty, Department of Mathematics, University of Cádiz, Cádiz, Spain.
Eloísa Ramírez-Poussa, Faculty of Economic and Business Sciences, Department of Mathematics, University of Cádiz, Cádiz, Spain.
Alexander Šostak, Institute of Mathematics and Computer Science of University of Latvia, Department of Mathematics, University of Latvia, Riga, Latvia.
About this book
This book combines computational intelligence and mathematics to solve theoretical and real-world problems. The real challenges of engineering and other applied sciences, e.g. economics and management, the social sciences, etc., and even everyday life, are increasingly raising complex problems – both in the usual sense, but also in the mathematical and theoretical computer science sense, which is referred to as intractability. Finding exact solutions to the latest problems in mathematics is impossible, and it has been also shown that no further technical advance will ever make it possible to find general and exact solutions to such complex problems. Rather, the goal is to find solutions that are “good enough” or “acceptably accurate,” including models and corresponding algorithms, which is most often achieved by combining traditional mathematical techniques and computational intelligence tools, such as fuzzy systems, evolutionary and memetic algorithms, and artificial neural networks.
Consequently, international funding programs, such as the European Commission’s current framework program for research and innovation (Horizon 2020), and the preliminary research team building COST Actions, are devoted to developing new instruments for tackling the challenges that we face in the current technological age. And it goes without saying that research topics concerning the interactions between computational intelligence and traditional mathematics play a key role in overcoming the obstacles associated with the intractability of complex problems. In this book, mathematicians, engineers, and other scientists highlight novel methodological results connecting these two main research areas, and focusing on solving real-life problems.
Brief contents
- Hierarchical Fuzzy Decision Support Methodology for Dangerous Goods Packaging Design 1
- Towards Automatic Web Identification of Solutions in Patient Innovation 9
- The Discrete Bacterial Memetic Evolutionary Algorithm for Solving the One-Commodity Pickup-and-Delivery Traveling Salesman Problem 15
- Roughness and Fuzziness 23
- Applying Fuzzy Hough Transform for Identifying Honed Microgeometrical Surfaces 35
- Notes on the Rescaled Algorithm for Fuzzy Cognitive Maps 43
- Introducing Group-Like Uninorms—Construction and Characterization 51
- On the Exchange Principle in Adjoint Triples. 59
- Poset Valued Intuitionistic Preference Relations 67
- Relating Hilbert-Chu Correspondences and Big Toy Models for Quantum Mechanics 75
- Attribute Selection via Hellwig’s Algorithm for Atanassov’s Intuitionistic Fuzzy Sets 81
- Extended Fuzzy Signature Based Model for Qualification of Residential Buildings 91
- Design of a Fuzzy System for Classification of Blood Pressure Load 99
- Triggering Probabilistic Neural Networks with Flower Pollination Algorithm 107
- Research on Improvement of Information Platform for Local Tourism by Paragraph Vector 115
- Generating Preference Relation Matrices from Utility Vectors Using Łukasiewicz Transitivity 123
- Optimization Under Fuzzy Max-t-Norm Relation Constraints 131
- Modeling Enterprise Architecture and Strategic Management from Fuzzy Decision Rules 139
- Describing Time Series Using Fuzzy Piecewise Linear Segments 149
- A Combined Fuzzy and Least Squares Method Approach for the Evaluation of Management Questionnaires 157
- F-Transforms for the Definition of Contextual Fuzzy Partitions 167
- Fuzzy Metric Approach to Aggregation of Risk Levels 175
- On the Measure of Many-Level Fuzzy Rough Approximation for L-Fuzzy Sets 183
- Bireducts in Formal Concept Analysis 191
- Author Index. 199
Series: Studies in Computational Intelligence (Book 819)
Pages: 200 pages
Publisher: Springer; 1st ed. 2020 edition (May 2, 2019)
Language: English
ISBN-10: 3030160238
ISBN-13: 978-3030160234
Springer__Computational Intelligence and Mathematics for Tackling Complex Problems.pdf
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