Janusz Kacprzyk

Araceli N. Proto

Massimo Squillante

In this volume recent advances in the use of modern quantitative models for the analysis of various problems related to the dynamics of social and economic systems are presented. The majority chapters describe tools and techniques of broadly perceived computational intelligence, notably fuzzy logic, evolutionary computation, neural networks and some non-standard probabilistic and statistical analyses. Due to the high complexity of the systems and problems considered, in many situations it is necessary to consider at the same time analytic, topological and statistical aspects and apply appropriate procedures and algorithms. This volume is a direct result of vivid discussions held during the Fifth International Workshop on Dynamics of Social and Economical Systems (DYSES) which was held at Benevento, Italy September 20-25, 2010, as well as a couple of post-workshop meetings and consultations.

Advanced Dynamic Modeling of Economic and Social Systems

Dario Mancini

Aldo Ventre

The developments of fuzzy systems and fuzzy logic is permeating through the diverse branches of science where uncertainty has to be considered laying on the foundations and applicative developments. CIFT and MEPP conferences have been held in different venues in Scandinavia and Italy since 1990, and have stimulated the attention from academia and industry toward the novelties introduced by fuzzy logic and fuzzy systems theory. The papers presented in this volume are concerned with a wide vision of modern perspectives of science. These cover research areas such as management, financial and economic applications, urbanism and ecology, astronomical engineering, medical diagnosis and imaging, and human behavior. Contents:Retrieving Documents from Multiple Information Sources (R Yager & A Rybalov)Basic Principles of Rough Set Analysis (B Matarazzo)Conditional Measures: Old and New (G Coletti & R Scozzafava)Application of a New Fuzzy Identification Algorithm for the Control of a DC to DC Converter (A Luciano et al)Fuzzy Logic and the Engineering of Quality in Electronic Products (B Bosacchi)On Some Order Structures in Fuzzy Modelling (M Fedrizzi et al)Fuzzy Control for Medicine: State of the Art and New Perspectives (S Giove)The Generalised Perceptron is a Fuzzy Neuron and a Fuzzy Rule (L Kallin & P Eklund)Application of MEP-Based Fuzzy Clustering to the Segmentation of Multivariate Medical Images (F Masulli et al)and other papers Readership: Students, engineers, and researchers in fuzzy systems, artificial intelligence, systems/knowledge engineering, biomedical engineering, civil engineering, applied mathematics, materials science, economics/finance and management. keywords:Fuzzy Logic;Fuzzy Modeling;Fuzzy Rule;Fuzzy Clustering

Massimo Squillante

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