![Foto de MARIA ANGELES](/img/nophoto.png)
MARIA ANGELES
GIL ALVAREZ
Catedrática de Universidad
Publicaciones (174) Publicaciones de MARIA ANGELES GIL ALVAREZ
2024
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On some properties of Cronbach’s α coefficient for interval-valued data in questionnaires
Advances in Data Analysis and Classification
2023
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Analyzing the Influence of the Rating Scale for Items in a Questionnaire on Cronbach Coefficient Alpha
Studies in Systems, Decision and Control (Springer Science and Business Media Deutschland GmbH), pp. 377-388
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Preface
Studies in Systems, Decision and Control
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Trends in Mathematical, Information and Data Sciences
Springer
2021
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Fuzzy rating scales: Does internal consistency of a measurement scale benefit from coping with imprecision and individual differences in psychological rating?
Information Sciences, Vol. 550, pp. 91-108
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Location-Free Robust Scale Estimates for Fuzzy Data
IEEE Transactions on Fuzzy Systems, Vol. 29, Núm. 6, pp. 1682-1694
2019
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Case study-based sensitivity analysis of scale estimates w.r.t. the shape of fuzzy data
Advances in Intelligent Systems and Computing
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Descriptive comparison of the rating scales through different scale estimates: Simulation-based analysis
Advances in Intelligent Systems and Computing
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Preface
Advances in Intelligent Systems and Computing
2018
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Fuzzy random variables à la Kruse & Meyer and à la Puri & Ralescu: Key differences and coincidences
Studies in Computational Intelligence (Springer Verlag), pp. 21-29
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Preface
Studies in Systems, Decision and Control
2017
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A hypothesis testing-based discussion on the sensitivity of means of fuzzy data with respect to data shape
Fuzzy Sets and Systems, Vol. 328, pp. 54-69
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An empirical analysis of the coherence between fuzzy rating scale-and likert scale-based responses to questionnaires
Advances in Intelligent Systems and Computing
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Fuzzy data analysis and classification special issue in memoriam of professor lotfi a. Zadeh, father of fuzzy logic
Advances in Data Analysis and Classification, Vol. 11, Núm. 4, pp. 645-657
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Hypothesis testing-based comparative analysis between rating scales for intrinsically imprecise data
International Journal of Approximate Reasoning, Vol. 88, pp. 128-147
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Measuring the dissimilarity between the distributions of two random fuzzy numbers
Advances in Intelligent Systems and Computing
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Preface
Advances in Intelligent Systems and Computing
2016
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Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?
Information Sciences, Vol. 360, pp. 131-148
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Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications
European Journal of Operational Research, Vol. 251, Núm. 3, pp. 918-929
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M-Estimates of Location for the Robust Central Tendency of Fuzzy Data
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 4, pp. 945-956