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Scheduling Alternatives with Respect to Fuzzy and Preference Modeling on Time Parameters

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 642))

Abstract

This paper is devoted to modelling and solving resource-constrained fuzzy scheduling problem. We study flexibilities in scheduling that reflect level of preference or attitude of decision-maker towards imprecise concepts, relations between them and fuzzy variables. Special combinations of alternatives or modes allow to take into account these flexibilities and construct exact branch-and-bound scheduling procedure.

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Acknowledgements

This work has been supported by the Ministry of Education and Science of the Russian Federation under Project “Methods and means of decision making on base of dynamic geographic information models” (Project part, State task 2.918.2017)

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Correspondence to Alexander Bozhenyuk .

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Knyazeva, M., Bozhenyuk, A., Rozenberg, I. (2018). Scheduling Alternatives with Respect to Fuzzy and Preference Modeling on Time Parameters. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_32

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  • DOI: https://doi.org/10.1007/978-3-319-66824-6_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66823-9

  • Online ISBN: 978-3-319-66824-6

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