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Allocation Method for Fuzzy Interval Graph Centers Based on Strong Connectivity

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Abstract

In this paper the problem of defining service centres optimum allocation in transportation network is observed. It is supposed that transportation network is described by a fuzzy interval graph. The notion of fuzzy set of strong connectivity is introduced. It is shown that the problem of service centers location can be reduced to a problem of finding fuzzy set of strong connectivity. The method and algorithm of finding fuzzy set of strong connectivity is considered in this paper. The example of finding optimum allocation of centers in fuzzy interval graph is considered.

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Acknowledgments

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), and the Russian Foundation for Basic Research, Project №. 15-07-00185a.

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Correspondence to Alexander Bozhenyuk .

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Bozhenyuk, A., Knyazeva, M., Rozenberg, I. (2018). Allocation Method for Fuzzy Interval Graph Centers Based on Strong Connectivity. 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 641. Springer, Cham. https://doi.org/10.1007/978-3-319-66830-7_24

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  • DOI: https://doi.org/10.1007/978-3-319-66830-7_24

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  • Print ISBN: 978-3-319-66829-1

  • Online ISBN: 978-3-319-66830-7

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