Publication Date
8-1997
Abstract
We show that fuzzy logic and other soft computing approaches explain and justify heuristic numerical methods used in data processing and in logic programming, in particular, M-methods in robust statistics, regularization techniques, metric fixed point theorems, etc.
Comments
Technical Report: UTEP-CS-97-4
Preliminary version appeared in Working Notes of the AAAI Symposium on Frontiers in Soft Computing and Decision Systems, Boston, MA, November 8-10, 1997, pp. 40-45;
final version is in Larry Medsker (ed.), Frontiers in Soft Computing and Decision Systems, AAAI Press (Publication No. FS-97-04), 1997, pp. 30-35.