2. Computing with Granular Information: Fuzzy Sets and Fuzzy Relations
Published Online: 27 JAN 2005
Copyright © 2005 John Wiley & Sons, Inc.
Knowledge-Based Clustering: From Data to Information Granules
How to Cite
Pedrycz, W. (2005) Computing with Granular Information: Fuzzy Sets and Fuzzy Relations, in Knowledge-Based Clustering: From Data to Information Granules, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471708607.ch2
- Published Online: 27 JAN 2005
- Published Print: 7 JAN 2005
Print ISBN: 9780471469667
Online ISBN: 9780471708605
- human-centric information granules;
- fuzzy sets;
- shadowed sets;
- generalizations of fuzzy sets
The chapter serves as a focused introduction to fuzzy sets and their calculus. The paradigm of fuzzy sets is also cast in the framework of granular computing where fuzzy sets are sought as examples of information granules. Discussed are operations on fuzzy sets (including their realizations in terms of t- and s-norms), properties of fuzzy relations and a general processing paradigm supported by fuzzy sets.