Intelligent Systems'2014

Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 1: Mathematical Foundations, Theory, Analyses

AvP. Angelov,K.T. Atanassov

Häftad, Engelska, 2014

Del 322 i serien Advances in Intelligent Systems and Computing

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Beskrivning

This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS’2014 for short, held on September 24–26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014 ‐ Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. The conference was organized by theSystems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and Industrial Institute of Automation and Measurements – PIAP. The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.

Produktinformation

Utgivningsdatum:2014-10-08
Mått:155 x 235 x 47 mm
Vikt:1 305 g
Format:Häftad
Språk:Engelska
Serie:Advances in Intelligent Systems and Computing
Antal sidor:864
Upplaga:2015
Förlag:Springer International Publishing AG
ISBN:9783319113128

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

Counting and aggregation.- Linguistic summaries.- Multicriteria Decision Making and Optimization.- Issues in intuitionistic fuzzy sets.- Fuzzy cognitive maps and applications.- Issues in Logic and Artificial Intelligence.- Group decisions, consensus, negotiations.- Issues in granular computing.- Multiagent systems.- Metaheuristics and applications.- Issues in data analysis and data mining.- Issues in Generalized Nets.- Neural networks, modeling and learning.-Classification and clustering.- Perception, judgment, affect, and sentiment analyses.