Chapter 1. Application of the Flower Pollination Algorithm in the Analysis of Micro-CT Scans (Piotr Kowalski).- Chapter 2. Enhancing the analysis of video time series by means of a multi-agent architecture (Luis Rodriguez-Benitez).- Chapter 3. On the Antecedent Sets for Fuzzy Classification of Colorectal Polyps with Stabilized KH Interpolation (Szilvia Nagy).- Chapter 4. How to predict consistently? (Evgenii Vityaev).- Chapter 5. Symbolic Unfolding of Multi-adjoint Logic Programs (Gines Moreno).- Chapter 6. Towards the use of hypergraphs in fuzzy logic programming (Juan Carlos Diaz-Moreno).- Chapter 7. Banking Applications of FCM Models (Miklos Hatwagner).- Chapter 8. On experimental efficiency for retraction operator to stem basis (Gonzalo A. Aranda-Corral).- Chapter 9. Inference of mixed information in Formal Concept Analysis (Angel Mora Bonilla).- Chapter 10. Unifying reducts in formal concept analysis and rough set theory (Maria Jose Benitez-Caballero).- Chapter 11. Similarity measure between linguistic terms by using restricted equivalence functions and its application to expert systems (Clemente Rubio Manzano).- Chapter 12. A New Convex Hull, Sliding Window Based Online Adaptation Method for Fixed-Structure Radial Basis Function Neural Networks (Hamid Khosravani).- Chapter 13. A population based metaheuristic for the Minimum Latency Problem (Boldizsar Tuu-Szabo).- Chapter 14. Multi-objective Fuzzy Geometric Programming Problem Using Fuzzy Geometry (Dr. Debjani Chakraborty).- Chapter 15. Recommendation solution in a Locate-Based Social Network via Formal Concept Analysis (Jesus Medina).- Chapter 16. Generalized Boolean Algebras and Applications (Andreja Tepavcevic).- Chapter 17. Bipolar max-product fuzzy relation equations with the product negation (M.Eugenia Cornejo).- Chapter 18. Direct and indirect methods for solving two-mode systems of fuzzy relation equations and inequalities (Miroslav Ciric).- Chapter 19. An adjoint pair for intuitionistic L-fuzzy values (Ondrej Kridlo).- Chapter 20. On Possibilistic Version of Distance Covariance and Correlation (Istvan Harmati).- Chapter 21. A Fuzzy Approach for Measuring Sentence Checkability – Preliminary Results (Hugo Farinha).- Chapter 22. Reduced Model Investigations supported by Fuzzy Cognitive Map to Foster Circular Economy (Adrienn Buruzs).
This book presents appealing contributions on computational intelligence and mathematics, connecting both areas and offering solutions to a number of interesting, real-world problems. Such problems often require novel solutions, as complexity exceeds the tractable size. At the same time, the need for good-quality realistic solutions results in models and algorithms with a good balance of resource intensiveness and model quality (accuracy).
Many areas of knowledge call for hybrid solutions that combine traditional mathematical techniques and computational intelligence based on subsymbolic knowledge representation. Important research topics are focused on developing the interaction between computational intelligence and mathematics, in order to address various challenges of the current technological age.
Written by influential, leading researchers, this book discusses the latest trends in hybridising mathematics and computational intelligence.