Search Results - "de la Rosa de Saa, Sara"

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  1. 1

    Fuzzy Rating Scale-Based Questionnaires and Their Statistical Analysis by de la Rosa de Saa, Sara, Gil, Maria Angeles, Gonzalez-Rodriguez, Gil, Lopez, Maria Teresa, Lubiano, Maria Asuncion

    Published in IEEE transactions on fuzzy systems (01-02-2015)
    “…The fuzzy rating method has been introduced in psychometric studies as a tool, which allows the capture of and accurate reflection of the diversity,…”
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  2. 2

    Analyzing data from a fuzzy rating scale-based questionnaire. A case study by Gil, María Ángeles, Lubiano, María Asunción, de la Rosa de Sáa, Sara, Sinova, Beatriz

    Published in Psicothema (2015)
    “…The fuzzy rating scale was introduced to cope with the imprecision of human thought and experience in measuring attitudes in many fields of Psychology. The…”
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  3. 3

    Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications by Lubiano, María Asunción, Montenegro, Manuel, Sinova, Beatriz, de la Rosa de Sáa, Sara, Gil, María Ángeles

    Published in European journal of operational research (16-06-2016)
    “…•We review and update one/multi-sample testing hypothesis about means of fuzzy data.•We detail the algorithms for testing and particularize them to trapezoidal…”
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  4. 4

    Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale? by Lubiano, María Asunción, de la Rosa de Sáa, Sara, Montenegro, Manuel, Sinova, Beatriz, Gil, María Ángeles

    Published in Information sciences (10-09-2016)
    “…In evaluating aspects like quality perception, satisfaction or attitude which are intrinsically imprecise, the fuzzy rating scale has been introduced as a…”
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  5. 5

    Location-Free Robust Scale Estimates for Fuzzy Data by de la Rosa de Saa, Sara, Lubiano, Maria Asuncion, Sinova, Beatriz, Gil, Maria Angeles, Filzmoser, Peter

    Published in IEEE transactions on fuzzy systems (01-06-2021)
    “…In analyzing fuzzy-valued imprecise data statistically, scale measures/estimates play an important role. Scale measures/estimates of data sets are often…”
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  6. 6

    Hypothesis testing-based comparative analysis between rating scales for intrinsically imprecise data by Lubiano, María Asunción, Salas, Antonia, Carleos, Carlos, de la Rosa de Sáa, Sara, Gil, María Ángeles

    “…In previous papers, it has been empirically proved that descriptive (summary measures) and inferential conclusions (in particular, tests about means p-values)…”
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  7. 7

    The mean square error of a random fuzzy vector based on the support function and the Steiner point by Sinova, Beatriz, de la Rosa de Sáa, Sara, Casals, María Rosa, Gil, María Ángeles, Salas, Antonia

    Published in Fuzzy sets and systems (01-06-2016)
    “…Metrics between fuzzy values are a topic with interest for different purposes. Among them, statistics with fuzzy data is growing in modelling and techniques…”
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  8. 8

    A generalized L1-type metric between fuzzy numbers for an approach to central tendency of fuzzy data by Sinova, Beatriz, de la Rosa de Sáa, Sara, Gil, Marı́a Ángeles

    Published in Information sciences (01-09-2013)
    “…In dealing with data generated from a random experiment, L2 metrics are suitable for many statistical approaches and developments. To analyze fuzzy-valued…”
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  9. 9

    Robust scale estimators for fuzzy data by de la Rosa de Sáa, Sara, Lubiano, María Asunción, Sinova, Beatriz, Filzmoser, Peter

    “…Observations distant from the majority or deviating from the general pattern often appear in datasets. Classical estimates such as the sample mean or the…”
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  10. 10

    A distance-based statistical analysis of fuzzy number-valued data by Blanco-Fernández, A., Casals, M.R., Colubi, A., Corral, N., García-Bárzana, M., Gil, M.A., González-Rodríguez, G., López, M.T., Lubiano, M.A., Montenegro, M., Ramos-Guajardo, A.B., de la Rosa de Sáa, S., Sinova, B.

    “…Real-life data associated with experimental outcomes are not always real-valued. In particular, opinions, perceptions, ratings, etc., are often assumed to be…”
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