Title :
A fuzzy visual language compiler
Author :
Yu, Bing ; Chang, Shi-Kuo
Author_Institution :
Dept. of Comput. Sci., Pittsburgh Univ., PA, USA
Abstract :
An efficient parser for analyzing visual sentences that is based on the theory of fuzzy sets is described. The fuzzy parser selects the most reasonable parse tree for a visual sentence. The parser has been incorporated into the SIL visual language compiler. Experimental results are reported. A model which uses fuzzy theory to represent and analyze the reasonableness of derivation trees is given
Keywords :
fuzzy set theory; high level languages; program compilers; trees (mathematics); visual programming; SIL; derivation tree reasonableness; fuzzy parser; fuzzy sets; fuzzy visual language compiler; parse tree; visual sentence analysis; Computer science; Fuzzy sets; Fuzzy systems; Guidelines; Humans; Iron;
Conference_Titel :
Visual Languages, 1990., Proceedings of the 1990 IEEE Workshop on
Conference_Location :
Skokie, IL
Print_ISBN :
0-8186-2090-0
DOI :
10.1109/WVL.1990.128399
