Similarity based on uniqueness measure in fuzzy information system and its clustering

We have proposed similarity based on uniqueness measure in binary information system before. This similarity is based on human´s perception and we get the similarity by using uniqueness of attribute values in subset of all objects in an information system. We regard this subset as knowledge. The similarity has a property that is able to change order of similarities by knowledge. In this paper, we extend binary information system into fuzzy information system and propose the similarity based on uniqueness measure in fuzzy information system. Also, we consider clustering using the similarity.