Burusco Juandeaburre, Ana

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https://academica-e.unavarra.es/handle/2454/48763

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Burusco Juandeaburre

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Ana

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Estadística, Informática y Matemáticas

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ISC. Institute of Smart Cities

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0000-0003-4974-9488

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88335

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49

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20202
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Start date: 2020 × Subject: L-fuzzy contexts associated with criteria ×

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  • Thumbnail Image
    PublicationOpen Access
    Knowledge extraction from L-fuzzy contexts associated with criteria evolving over time
    (IOS Press, 2020) Alcalde, Cristina; Burusco Juandeaburre, Ana; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Estadística, Informática y Matemáticas
    Information extracted from L-fuzzy contexts is substantially improved by taking into account different points of view, which can roughly be represented by criteria. This work addresses the general study of L-fuzzy contexts were a set of criteria is introduced, analyzing situations in which their evolution over time is known. The relationship among criteria is also an important point in the study. In this sense, the treatment will vary depending on whether they are independent criteria or there exists dependency among them. Of special importance will be those elements that stand out for presenting a positive temporal evolution. Four algorithms are proposed in order to analyze the different situations. Finally, the applicability of the results is shown thought an example where the opinion of the clients of several hotels is analyzed taking into account both the type of traveler considered and the different aspects of the establishments on which a score is given.
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    PublicationOpen Access
    Evolution of L-fuzzy contexts associated with criteria
    (Springer, 2020) Alcalde, Cristina; Burusco Juandeaburre, Ana; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Estadística, Informática y Matemáticas
    This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria analyzing situations with a known evolution over time. These criteria may be independent or dependent on each other. We propose two different studies: to build an aggregated context looking for a simplification of the process and to keep the sequence obtaining interesting nuances over time. In both cases, aggregation operators will be used in order to address the problem. Finally, a practical example about ratings obtained by different tourist accommodations illustrates the results.