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 context sequences ×

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    PublicationOpen Access
    Use of Choquet integrals in multivalued contexts
    (Springer, 2020) Burusco Juandeaburre, Ana; Alcalde, Cristina; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Estadística, Informática y Matemáticas
    In this work, multivalued contexts are studied, in which the different observations are related to each other. Continuing the studies already carried out in previous works, the use of Choquet integrals can be an adequate tool for this situations. If in addition the set of objects or attributes of these contexts represent a temporal sequence, we can also represent these contexts as sequences of contexts that evolve in time and we can use tools in this field to extract information. Finally, as illustrative application, the developed theory is used to measure student progress in learning.
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    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.