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Advances in Fuzzy Logic and Technology 2017


Advances in Fuzzy Logic and Technology 2017

Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017 - The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 3 By Janusz Kacprzyk, Eulalia Szmidt, Slawomir Zadrozny, Krassimir T. Atanassov, Maciej Krawczak
English | PDF | 2017 (2018 Edition) | 613 Pages | ISBN : 3319668269 | 37.45 MB
This volume constitutes the proceedings of two collocated international conferences: EUSFLAT-2017 - the 10th edition of the flagship Conference of the European Society for Fuzzy Logic and Technology held in Warsaw, Poland, on September 11-15, 2017, and IWIFSGN'2017 - The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, held in Warsaw on September 13-15, 2017.

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Towards Intelligent Modeling: Statistical Approximation Theory by Oktay Duman

Towards Intelligent Modeling: Statistical Approximation Theory by Oktay Duman

Towards Intelligent Modeling: Statistical Approximation Theory (Intelligent Systems Reference Library) by Oktay Duman
English | July 1, 2011 | ISBN: 3642198252 | 252 Pages | PDF | 2 MB

The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence. This method of convergence has been investigated in many fundamental areas of mathematics such as: measure theory, approximation theory, fuzzy logic theory, summability theory, and so on.

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Advances in Data Analysis with Computational Intelligence Methods


Advances in Data Analysis with Computational Intelligence Methods

Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek Zurada By Adam E Gaweda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen
English | PDF | 2017 (2018 Edition) | 417 Pages | ISBN : 3319679457 | 13.19 MB
This book is a tribute to Professor Jacek Zurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Zurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few.

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