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  1. Set-valued Data

    Since fuzzy sets are generalizations of ordinary sets, we present in this Chapter the essentials of random set theory for statistics. This material...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  2. Modeling of Fuzzy Data

    Fuzzy data are imprecise data obtained from measurements, perception or by interviewing people. Typically, those data are expressed in linguistic...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  3. Fuzzy Statistical Analysis and Estimation

    In social science research, many decisions, evaluations, or purposes of evaluations are done by surveys or questionnaires to seek for people’s...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  4. Tests of Hypothesis: Means

    In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this chapter,...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  5. Fuzzy Time Series Analysis and Forecasting

    The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  6. Aspects of Statistical Inference

    With the background in previous chapters, problems of statistical inference with fuzzy data should be somewhat straightforward in principle! By that...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  7. Random Fuzzy Sets

    Statistical models for observations which are numbers or vectors are random variables and random vectors, respectively. Similarly, if the...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  8. Convergence of Random Fuzzy Sets

    As in Chapter 5, we view random fuzzy sets as generalizations of random closed sets on R d , or more generally on...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  9. Introduction

    First like fuzzy logics are logics with fuzzy concepts, by fuzzy statistics we mean statistics with fuzzy data. Data are fuzzy when they are...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  10. Two inertial hybrid projection algorithms for solving a class of split common solution problems

    In this paper, we introduce two new inertial hybrid projection algorithms for solving the split common solution problem with multiple output sets. We...

    Simeon Reich, Truong Minh Tuyen, Nguyen Thi Trang in Rendiconti del Circolo Matematico di Palermo Series 2
    Article 11 July 2024
  11. Approximation of bivariate Lipschitz continuous functions by hidden variable fractal functions

    The crux of the present paper is approximation of bivariate Lipschitz continuous functions by hidden variable fractal functions. We propose the...

    Article 11 July 2024
  12. Investigations on uniqueness of meromorphic functions in the k-punctured complex plane

    In this paper, we have exhaustively studied the uniqueness of meromorphic function sharing five small functions in k -punctured complex plane, under...

    Article 11 July 2024
  13. Remarks on control and inverse problems for PDEs

    This paper deals with recent results and open questions on the control and parameter identification of systems governed by PDEs. Among them, we find...

    Emique Fernández-Cara in SeMA Journal
    Article Open access 11 July 2024
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