Publicacions (174) Publicacions de MARIA ANGELES GIL ALVAREZ

2024

  1. On some properties of Cronbach’s α coefficient for interval-valued data in questionnaires

    Advances in Data Analysis and Classification

2023

  1. 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

  2. Preface

    Studies in Systems, Decision and Control

  3. Trends in Mathematical, Information and Data Sciences

    Springer

2021

  1. 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

  2. Location-Free Robust Scale Estimates for Fuzzy Data

    IEEE Transactions on Fuzzy Systems, Vol. 29, Núm. 6, pp. 1682-1694

2019

  1. Case study-based sensitivity analysis of scale estimates w.r.t. the shape of fuzzy data

    Advances in Intelligent Systems and Computing

  2. Descriptive comparison of the rating scales through different scale estimates: Simulation-based analysis

    Advances in Intelligent Systems and Computing

  3. Preface

    Advances in Intelligent Systems and Computing

2018

  1. 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

  2. Preface

    Studies in Systems, Decision and Control

2017

  1. 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

  2. An empirical analysis of the coherence between fuzzy rating scale-and likert scale-based responses to questionnaires

    Advances in Intelligent Systems and Computing

  3. 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

  4. Hypothesis testing-based comparative analysis between rating scales for intrinsically imprecise data

    International Journal of Approximate Reasoning, Vol. 88, pp. 128-147

  5. Measuring the dissimilarity between the distributions of two random fuzzy numbers

    Advances in Intelligent Systems and Computing

  6. Preface

    Advances in Intelligent Systems and Computing

2016

  1. Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?

    Information Sciences, Vol. 360, pp. 131-148

  2. 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

  3. M-Estimates of Location for the Robust Central Tendency of Fuzzy Data

    IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 4, pp. 945-956