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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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Published in: | Energies (Basel) 2022-01, Vol.15 (1), p.223 |
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description | 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. |
doi_str_mv | 10.3390/en15010223 |
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ispartof | Energies (Basel), 2022-01, Vol.15 (1), p.223 |
issn | 1996-1073 1996-1073 |
language | eng |
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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 |
title | Path Selection for the Inspection Robot by m-Generalized q-Neutrosophic PROMETHEE Approach |
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