Abstract
Nowadays, to have relevant information is an important factor that contributes favorably to the decision making process. The usage of ontologies to improve the effectiveness in obtaining information has received special attention from researchers in recent years. However, the conceptual formalism supported by ontologies is not enough to represent the ambiguous information that is commonly founded in many domains of knowledge. An alternative is to incorporate the concepts of compensatory fuzzy logic in order to handle the uncertainty in the data, which take advantage of the benefits it provides for the formal representation of uncertainty. We present in this paper the formal definition of “Compensatory Fuzzy Ontologies” and attempt to bring to light the need for enhanced knowledge representation systems, using the advantages of this approach, which would increase the effectiveness of using knowledge in the field of decision making.
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Valdés, A.R., Andrade, R.A.E., Gómez, J.M. (2010). Compensatory Fuzzy Ontology. In: Davcev, D., Gómez, J.M. (eds) ICT Innovations 2009. ICT Innovations 2009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10781-8_5
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DOI: https://doi.org/10.1007/978-3-642-10781-8_5
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