A promising approach for decision modeling with single-valued neutrosophic probabilistic hesitant fuzzy Dombi operators

A combination of the single-valued neutrosophic set (SV-NS) and probabilistic hesitant fuzzy is (SV-NPHF) environment (PHFS). It intended for some unsatisfactory, ambiguous, contradictory circumstances in which each element has a number various values that are brought about by situation?s actuality. The decision-maker can quickly gather analyze facts employing strategic decision-making technique. On other hand, uncertainty will be big part our daily lives when we learning. We present strategy SV-NPHF context to address this data ambiguity. fundamental operational concepts information under Dombi aggregation operators were initially developed on basis study. weighted arithmetic average (SV-NPHFDWAA) operator geometric (SV-NPHFDWAG) two Operators then examined. Following that, look into further characterizations proposed operators, including idempotency, boundedness, monotonicity. Forthe derived additionally score accuracy functions. When using multi attribute decision support system (MADSS), it necessary compare effectiveness (AOs) order make best decision. In addition, demonstrated how use symmetry analysis choose optimal social media platform earning learning practical application SV-NPHFDWAA SV-NPHFDWAG.