When classifying two types of objects, there can appearan ambiguous and uncertain overlapping interval; in which case, the classification can proceed, by setting this interval as a fuzzy interval.
As such, through the application of a fuzzy set theory during the classification process and by quantifying and objectifying the ambiguousness of a subjective belief or determination, the reliability about the treatment results can be improved.
To this end, a wooden board, vegetation, concrete, tile and marble were fabricated into 40 cm × 40 cm test models and the raw data obtained from the Terrestrial LiDAR were classified through the use of a fuzzy set theory.
As a result of measuring the accuracy of classifying between the wooden boards-and-vegetation, concrete-and-tile, wooden boards-and-concrete, and marble-and-concrete, accuracy of about 92%~96% was observed.
Therefore, confirmed is the fact that satisfactory results can be obtained by classifying the color information values and reflection intensity values from the Terrestrial LiDAR, through the use of the fuzzy set theory.