DocumentCode :
351375
Title :
On algebraic foundations of information granulation. I. The crisp case
Author :
Thiele, Helmut
Author_Institution :
Dept. of Comput. Sci., Dortmund Univ., Germany
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
780
Abstract :
Zadeh (1997) writes “There are three basic concepts that underline human cognition: granulation, organisation and causation. Granulation of an object A leads to a collection of granules of A, with a granule being a clump of points (objects) drawn together by indistinguishability, similarity, proximity of functionality”. Furthermore, he writes “Modes of information granulation (IG) in which the granules are crisp (c-granular) play important roles in a wide variety of methods, approaches and techniques. Crisp IG, however, does not reflect the fact that in almost all of human reasoning and concept formation the granules are fuzzy (f-granular)”. The paper is a first step to develop a systematic mathematical theory fitting Zadeh´s approach. We restrict our considerations to the “crisp case”, i.e., we consider only crisp granules. Furthermore, we study only the generation of granulation by binary relations, i.e., by equivalence, tolerance, S4, partial order and linear order relations
Keywords :
fuzzy logic; fuzzy set theory; information theory; binary relations; crisp granules; fuzzy logic; fuzzy set theory; human cognition; information granulation; partial order relations; Computer aided software engineering; Computer science; Fuzzy sets; Humans; Logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1098-7584
Print_ISBN :
0-7803-5877-5
Type :
conf
DOI :
10.1109/FUZZY.2000.839131
Filename :
839131
Link To Document :
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