Frontiers in Computational Intelligence
Published on 16. October 2017
Book
Hardback
IX, 143 pages
978-3-319-67788-0 (ISBN)
Description
This book is a collection of several contributions which show the state of the art in specific areas of Computational Intelligence. This carefully edited book honors the 65th birthday of Rudolf Kruse. The main focus of these contributions lies on treating vague data as well as uncertain and imprecise information with automated procedures, which use techniques from statistics, control theory, clustering, neural networks etc. to extract useful and employable knowledge.
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
11 s/w Abbildungen, 32 farbige Abbildungen
IX, 143 p. 43 illus., 32 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 15 mm
Weight
407 gr
ISBN-13
978-3-319-67788-0 (9783319677880)
DOI
10.1007/978-3-319-67789-7
Schweitzer Classification
Other editions
Additional editions
Sanaz Mostaghim | Andreas Nürnberger | Christian Borgelt
Frontiers in Computational Intelligence
Book
08/2018
Springer
€106.99
Shipment within 10-15 days
Sanaz Mostaghim | Andreas Nürnberger | Christian Borgelt
Frontiers in Computational Intelligence
E-Book
10/2017
Springer
€96.29
Available for download
Content
Chapter 1: what a fuzzy set is and what it is not?.- Chapter 2: Fuzzy random variables á la Kruse & Meyer and á la Puri & Ralescu: key differences and coincidences.- Chapter 3: Statistical Inference for Incomplete Ranking Data: A Comparison of two Likelihood-Based Estimators.- Chapter 4: Interval Type-2 Defuzzification Using Uncertainty Weights.- Chapter 5: Exploring time-resolved data for patterns and validating single clusters.- Chapter 6: Interpreting Cluster Structure in Waveform Data with Visual Assessment and Dunn's Index.- Chapter 7: A shared encoder DNN for integrated recognition and segmentation of traffic scenes.- Chapter 8: Fuzzy ontology support for knowledge mobilisation