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Path Selection for the Inspection Robot by m-Generalized q-Neutrosophic PROMETHEE Approach

Author

Listed:
  • Romualdas Bausys

    (Department of Graphical Systems, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania)

  • Rokas Semenas

    (Department of Graphical Systems, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania)

Abstract

Path planning can be considered the most vital task of the autonomous robot. In this task, selecting an optimal route from the starting to the target position becomes an important problem that must be addressed when multiple competing optimization priorities are considered. Thus, a novel route assessment strategy based on a multi-criteria decision-making approach is proposed. The m-generalized q-neutrosophic PROMETHEE (PROMETHEE-mGqNS) method is applied to aggregate the competing route assessment requirements and choose an optimal route. A case study is investigated to explain the proposed strategy for path planning in a typical environment and indicates the method stability when incomplete input data characteristics are present.

Suggested Citation

  • Romualdas Bausys & Edmundas Kazimieras Zavadskas & Rokas Semenas, 2021. "Path Selection for the Inspection Robot by m-Generalized q-Neutrosophic PROMETHEE Approach," Energies, MDPI, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:223-:d:713911
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    References listed on IDEAS

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    1. Fragapane, Giuseppe & de Koster, René & Sgarbossa, Fabio & Strandhagen, Jan Ola, 2021. "Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 294(2), pages 405-426.
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