Fuzzy Description Logics (DLs) with t-norm semantics have been studied as a means for representing and reasoning with vague knowledge. Recent work has shown that even fairly inexpressive fuzzy DLs become undecidable for a wide variety of t-norms. We complement those results by providing a class of t-norms and an expressive fuzzy DL for which ontology consistency is linearly reducible to crisp r...

Both the fuzzy measure and integral have been widely studied for multi-source information fusion. A number of researchers have proposed optimization techniques to learn a fuzzy measure from training data. In part, this task is difficult as the fuzzy measure can have a large number of free parameters (2 − 2 for N sources) and it has many (monotonicity) constraints. In this paper, a new genetic a...

In this paper we present a fuzzy version of SHOIN (D), the corresponding Description Logic of the ontology description language OWL DL. We show that the representation and reasoning capabilities of fuzzy SHOIN (D) go clearly beyond classical SHOIN (D). Interesting features are: (i) concept constructors are based on t-norm, t-conorm, negation and implication; (ii) concrete domains are fuzzy sets...

In order to reduce product costs and time-to-market while improving product quality, industrial companies are forced to adopt an effective collaborative product development approach. Greater efficiency can be achieved if this collaboration is realized at the earlier phases of the product lifecycle, particularly, at the design phase. Yet, to achieve such an agile and flexible approach, two major...

Ontology is the progression of interpreting conceptions information domain for an assembly handlers. Familiarizing ontology as retrieval (IR) aids in augmenting searching effects user-required relevant information. The crux conventional keyword matching-related IR utilizes advanced algorithms recovering facts from Internet, mapping connection between keywords and information, categorizing outco...

This paper presents a minimalistic reasoning algorithm to solve imprecise instance retrieval in fuzzy ontologies with application querying Building Information Models (BIMs)—a knowledge representation formalism used the construction industry. Our proposal is based on novel lossless reduction of crisp tasks, which can be processed by any Description Logics reasoner. We implemented and performed ...