Abstract
The fuzzy logic algorithm has been used for the validation strategy of PTV results. The authors already applied the fuzzy logic model as a particle tracking algorithm with successful results. In this study the basic concept of the fuzzy PTV model seemed no less suitable for the validation strategy of other types of PTV results. The noteworthy point of the fuzzy particle tracking algorithm is the confidence of two adjacent velocity vectors. In the fuzzy PTV this confidence value is updated at each stage of the confidence level estimation between any two adjacent candidate velocity vectors. Similarly the confidence level estimation could be done between any two adjacent velocity vectors resulting from other PTV algorithms. This is the base line of the present new validation strategy.
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