Granular, Soft and Fuzzy Approaches for Intelligent Systems, 1st ed. 2017 Dedicated to Professor Ronald R. Yager Studies in Fuzziness and Soft Computing Series, Vol. 344
Coordonnateurs : Kacprzyk Janusz, Filev Dimitar, Beliakov Gleb
This book offers a comprehensive report on the state-of-the art in the broadly-intended field of ?intelligent systems?. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors? appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.
Date de parution : 06-2018
Ouvrage de 248 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 158,24 €
Ajouter au panierDate de parution : 11-2016
Ouvrage de 248 p.
15.5x23.5 cm
Thème de Granular, Soft and Fuzzy Approaches for Intelligent Systems :
Mots-clés :
Ordered Weighted Averaging Operators; Geospatial Data Infrastructure; Intuitionistic Fuzzy Sets; Entropy Measures; Measure Of Information; Admissible Order; Aggregation Functions; Interval-Valued OWA Operators; Sugeno Integrals; Choquet Integrals; Triangular Norms; Look-Up Tables; Stability Theory; Fuzzy Controllers; Possibilistic Fuzzy Modeling; Risk Estimation; Fuzzy Databases; Fuzzy Probability