Abstract
This paper presents a problem of scheduling a transportation robot in a production flow line with incomplete knowledge of input data. The input data are modeled by fuzzy numbers. A new numerical algorithm based on operations over the fuzzy numbers is developed.
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© 1997 Springer-Verlag Berlin Heidelberg
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Levner, E., Meyzin, L., Ptuskin, A. (1997). Fuzzy reasoning and applications for intelligent scheduling of robots. In: Martin, T.P., Ralescu, A.L. (eds) Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems. FLAI 1995. Lecture Notes in Computer Science, vol 1188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62474-0_5
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DOI: https://doi.org/10.1007/3-540-62474-0_5
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