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

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 asses...

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Bibliographic Details
Published in:Energies (Basel) 2022-01, Vol.15 (1), p.223
Main Authors: Bausys, Romualdas, Zavadskas, Edmundas Kazimieras, Semenas, Rokas
Format: Article
Language:English
Subjects:
Algorithms
autonomous robot
Decision making
Fuzzy sets
Inspection
m-generalized q-neutrosophic sets
multi-criteria decision-making
Multiple criterion
Optimization
Path planning
PROMETHEE
Robots
Route selection
Set theory
Strategy
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15010223