DocumentCode :
2997152
Title :
Modeling of systems with ill-defined attributes
Author :
Siy, P. ; Chen, C.S.
Author_Institution :
The University of Akron, Akron, Ohia
fYear :
1971
fDate :
15-17 Dec. 1971
Firstpage :
225
Lastpage :
226
Abstract :
In the study of an object or a system, one must first of all describe it through interrelating the variables which are considered most relevant to the modeling of the system. However in many cases, the attributes of a system are ambiguous as in the case of handwritten characters; for there is no clear-cut definition of, say, handwritten "five". The characters "5", "5", "5", and "5" are somehow all recognized as "five". For machine recognition of this seemingly ill-defined object, it is necessary to be able to describe it analytically. One attempt is made in this paper to model the handwritten characters. The handwritten characters are directed graphs[1], the branch set of which are fuzzily classified to the branch types such as straight lines, circles and parts of a circle; the branch types in turn are considered as fuzzy variables[2]. A fuzzy function is then synthesized to model each handwritten character by relating fuzzy variables.
Keywords :
Character recognition; Joining processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1971 IEEE Conference on
Conference_Location :
Miami Beach, FL, USA
Type :
conf
DOI :
10.1109/CDC.1971.270985
Filename :
4044746
Link To Document :
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