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Fuzzy ontologies provide an efficient tool to represent and utilize imprecise and vague data in decision making problems. In the presence of imprecise data in ontologies, aggregation operators play an important role in the decision making process. In this paper we present new definitions of ordered weighted averaging distance (OWAD) operators for interval-valued fuzzy numbers (IVFN) and show that...
Issues on fuzzy reasoning by aggregating two types of ontologies that are used to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. Similarity matching is used to find the similarity between fuzzy set reflected to mental fuzzy attributes (subjective type...
Human behaviour representation and modelling in Smart Spaces are crucial tasks in Ambient Intelligence environments. A problem found among existing technologies is that the environment sensor data is always provided as crisp events. However, to model behaviour in reactive Smart Spaces we need to identify user patterns, which are not always performed in the same way or happening at the same time/frequency...
Numerous ontological or semantic similarity measures have been proposed to determine how similar one concept is to another within the context of an ontology. These measures are shown to have as their basis fuzzy set compatibility measures and have been used in a variety of biomedical and bioinformatics applications. In this paper a new matcher, the mediating matcher with semantic similarity (MMSS),...
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