DocumentCode :
389582
Title :
Similarity measure between scenarios through fuzzy inference
Author :
De Carvalho, Veronica Oliveira ; Morandin, Orides, Jr. ; Kato, Edilson R. R.
Author_Institution :
Comput. Sci. Dept., Univ. Fed. de Sao Carlos, Brazil
Volume :
5
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
The simulation technique has been used to solve many problems that occur in the production process. Whenever an event occurs many alternatives (scenarios) can be generated in order to solve the problem. However, as much as the number of scenarios to be simulated becomes higher, the time spent in this process raises, implicating in a difficult task to find a good solution. Hence, it is necessary to reduce this number of scenarios. In this context, it is proposed an approach to reduce the number of scenarios to be simulated, grouping similar scenarios in sets, through the use of fuzzy logic.
Keywords :
computer integrated manufacturing; digital simulation; flexible manufacturing systems; fuzzy logic; inference mechanisms; uncertainty handling; artificial intelligence; decision making; flexible manufacturing system; fuzzy inference; fuzzy logic; production process; scenario similarity measure; simulation technique; Artificial intelligence; Automation; Computer science; Computer simulation; Decision making; Discrete event simulation; Feedback; Fuzzy logic; Laboratories; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1176342
Filename :
1176342
Link To Document :
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