Towards adaptive calculus of granules

Author

Polkowski, Lech ; Skowron, Andrzej

Author_Institution

Polish-Japanese Inst. of Comput. Technol., Warsaw, Poland

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

111

Abstract

An importance of the idea of granularity of knowledge for approximate reasoning has been stressed in Pawlak (1997) and Zadeh (1966, 1997). We address here the problem of synthesis of adaptive decision algorithms and we propose an approach to this problem based on the notion of a granule which we develop in the framework of rough mereology. This framework does encompass both rough and fuzzy set theories. Our approach may be applied in the problems of approximate synthesis of complex objects (solutions) in distributed systems of intelligent agents

Keywords

fuzzy set theory; inference mechanisms; uncertainty handling; adaptive calculus; adaptive decision algorithms; approximate reasoning; approximate synthesis; complex objects; distributed systems; fuzzy set theories; granules; intelligent agents; knowledge granularity; rough mereology; rough set theories; Boolean algebra; Calculus; Fuzzy reasoning; Fuzzy set theory; Information systems; Intelligent agent; Mathematics; Rough sets; Set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687468

Filename

687468