Overview
- Presents the very concept of an index matrix and its related augmented matrix calculus in a comprehensive form
- Illustrated with examples related to the generalized nets and intuitionistic fuzzy sets
- Contains original research and basic results of index matrices and open problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 573)
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Table of contents (6 chapters)
Keywords
About this book
This book presents the very concept of an index matrix and its related augmented matrix calculus in a comprehensive form. It mostly illustrates the exposition with examples related to the generalized nets and intuitionistic fuzzy sets which are examples of an extremely wide array of possible application areas. The present book contains the basic results of the author over index matrices and some of its open problems with the aim to stimulating more researchers to start working in this area.
Authors and Affiliations
Bibliographic Information
Book Title: Index Matrices: Towards an Augmented Matrix Calculus
Authors: Krassimir T. Atanassov
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-10945-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-10944-2Published: 17 September 2014
Softcover ISBN: 978-3-319-36504-6Published: 10 September 2016
eBook ISBN: 978-3-319-10945-9Published: 03 September 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 110
Number of Illustrations: 20 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Mathematical Models of Cognitive Processes and Neural Networks