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Project Network Planning on the Basis of Generalized Fuzzy Critical Path Method

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The State of the Art in Computational Intelligence

Part of the book series: Advances in Soft Computing ((AINSC,volume 5))

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Abstract

Project network planning problem with fuzzy durations of operations has been investigated. Two approaches to criticality analysis of operations classified as a path criticality and a float criticality ones are distinguished. It has been ascertained that both methods do not provide an efficient solution of the fuzzy network planning problem to full extent. A generalized fuzzy critical path method (FCPM) based on aggregation of the path and the float ones has been proposed. Advantages of generalized criticality degree using are demonstrated by numerical experiments.

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References

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Author information

Authors and Affiliations

  1. Donetsk Institute of Economics and Law, 77, Universitetskaya str., Donetsk, 340048, Ukraine

    Anatoliy Slyeptsov

  2. Donetsk State University, Donetsk, Ukraine

    Tatyana Tyshchuk

Authors
  1. Anatoliy Slyeptsov
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  2. Tatyana Tyshchuk
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letna 9/B, 040 00, Košice, Slovakia

    Peter Sinčák  & Ján Vaščák  & 

  2. Faculty of Chemical Technology, Slovak University of Technology Bratislava, Radlinskeho 9, 812 37, Bratislava, Slovakia

    Vladimír Kvasnička

  3. Faculty of Civil Engineering, Slovak University of Technology Bratislava, Radlinskeho 11, 813 68, Bratislava, Slovakia

    Radko Mesiar

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© 2000 Springer-Verlag Berlin Heidelberg

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Slyeptsov, A., Tyshchuk, T. (2000). Project Network Planning on the Basis of Generalized Fuzzy Critical Path Method. In: Sinčák, P., Vaščák, J., Kvasnička, V., Mesiar, R. (eds) The State of the Art in Computational Intelligence. Advances in Soft Computing, vol 5. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1844-4_23

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  • DOI: https://doi.org/10.1007/978-3-7908-1844-4_23

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1322-7

  • Online ISBN: 978-3-7908-1844-4

  • eBook Packages: Springer Book Archive

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