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Optimal path problem with possibilistic weights

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33153218" target="_blank" >RIV/61989592:15310/14:33153218 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimal path problem with possibilistic weights

  • Original language description

    The selection of optimal path is one of the classic problems in graph theory. Its utilization have various practical uses ranging from the transportation, civil engineering and other applications. Rarely those applications take into account the uncertainty of the weights of the graph. However this uncertainty can have high impact on the results. Several studies offer solution by implementing the fuzzy arithmetic for calculation of the optimal path but even in those cases neither of those studies proposed complete solution to the problem of ranking of the fuzzy numbers. In the study the ranking system based on the Theory of Possibility is used. The biggest advantage of this approach is that it very well addresses the indistinguishability of fuzzy numbers. Lengths of the paths are compared based on the possibility and the necessity of being smaller than the alternative. The algorithm offers the user more information than only the optimal path, instead the list of possible solutions is ca

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Geoinformatics for Intelligent Transportation

  • ISBN

    978-3-319-11463-7

  • Number of pages of the result

    12

  • Pages from-to

    39-50

  • Number of pages of the book

    272

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • UT code for WoS chapter