Similarity measure between scenarios through fuzzy inference

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 thi...

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Main Authors: de Carvalho, V.O., Morandin, O., Kato, E.R.R.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Automation
Computer science
Computer simulation
Decision making
Discrete event simulation
Feedback
Fuzzy logic
Laboratories
Production
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Morandin, O.
Kato, E.R.R.
description 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.
doi_str_mv 10.1109/ICSMC.2002.1176342
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subjects Artificial intelligence
Automation
Computer science
Computer simulation
Decision making
Discrete event simulation
Feedback
Fuzzy logic
Laboratories
Production
title Similarity measure between scenarios through fuzzy inference
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