Indistinguishability Operators: Modelling Fuzzy Equalities and Fuzzy Equivalence Relations



Indistinguishability Operators: Modelling Fuzzy Equalities and Fuzzy Equivalence Relations (Studies in Fuzziness and Soft Computing)
Springer | 2010-09-30 | ISBN: 3642162215 | 262 pages | File type: PDF | 2 mb

Indistinguishability operators are essential tools in fuzzy logic since they fuzzify the concepts of equivalence relation and crisp equality. This book collects all the main aspects of these operators in a single volume for the first time. The stress is put on the study of their structure and the monograph starts presenting the different ways in which indistinguishability operators can be generated and represented. Special attention is paid to the Representation Theorem and the Sup-T product. Extensionality of fuzzy subsets is studied in detail and is related to their observability and to the granularity. The metric behaviour of indistinguishability operators and their connection with cluster analysis and hierarchical trees is established. Different ways to aggregate such operators are given as well as a number of methods to obtain transitive approximations of a fuzzy relation. Applications to approximate reasoning and to the study of fuzzy subgroups are also provided. The book ends with a chapter on finite-valued indistinguishability operators.

Download Links:
http://www.filesonic.com/file/27220321/3642162215.rar


[Fast Download] Indistinguishability Operators: Modelling Fuzzy Equalities and Fuzzy Equivalence Relations


Related eBooks:
Screen Society
Learning Responsive Data Visualization
Malicious Attack Propagation and Source Identification
Robot Rules: Regulating Artificial Intelligence
Handbook of Research on Information and Cyber Security in the Fourth Industrial Revolution
Driving Traffic and Customer Activity Through Affiliate Marketing
Recoding Gender: Women's Changing Participation in Computing (History of Computing)
The Magic of Houdini
Computational Problems in Science and Engineering
Data Warehousing and Knowledge Discovery
Using Windows 8.1: Return of the Start Button
Sams Teach Yourself Python in 24 Hours
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.