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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  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. 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
  8. 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
  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. UCB Strategies in a Gaussian Two-Armed Bandit Problem

    We consider the two-armed bandit problem in the application to batch data processing if there are two alternative processing methods with different a...
    Conference paper 2024
  11. Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks

    Stochastic optimization is a vital field in the realm of mathematical optimization, finding applications in diverse domains ranging from operations...
    Vladimir Solodkin, Savelii Chezhegov, ... Alexander Gasnikov in Mathematical Optimization Theory and Operations Research
    Conference paper 2024
  12. How to Use Barriers and Symmetric Regularization of Lagrange Function in Analysis of Improper Nonlinear Programming Problems

    In the note, we present a new approach to numerical analysis of improper mathematical programming problems based on ideas of symmetrically...
    Conference paper 2024
  13. Filtering Correction for Robotic Arms Multipurpose Regulators

    The paper is devoted to the problem of compensating the external disturbances while stabilizing the robotic arm in the specified position by...
    Conference paper 2024
  14. Decision Analysis of Military Supply Chain Based on Stackelberg Game Model

    The military supply chain assumes a paramount role in national security and defense infrastructure development, entailing substantial economic...
    Kuankuan Huang, Yu Yue, ... Xuedong Liang in Mathematical Optimization Theory and Operations Research
    Conference paper 2024
  15. A Learning-Augmented Algorithm for the Parking Permit Problem with Three Permit Types

    We consider the parking permit problem with three permit types. First, we prove the tight lower bound on the competitiveness of any deterministic...
    Kharchenko Yaroslav, Kononov Alexander in Mathematical Optimization Theory and Operations Research
    Conference paper 2024
  16. Assessing the Perron-Frobenius Root of Symmetric Positive Semidefinite Matrices by the Adaptive Steepest Descent Method

    We discuss the maximum eigenvalue problem which is fundamental in many cutting-edge research fields. We provide the necessary theoretical background...
    Conference paper 2024
  17. Dynamic Stability of Coalition Structures in Network-Based Pollution Control Games

    This paper investigates the dynamics of coalition stability in pollution control games that are built on networks. It specifically focuses on the...
    Conference paper 2024
  18. Tabu Search for a Service Zone Clustering Problem

    Network maintenance by service engineers (SE) involves a range of activities to ensure that the network is functioning optimally and providing...
    Davydov Ivan, Gabdullina Aliya, ... Arkhipov Dmitry in Mathematical Optimization Theory and Operations Research
    Conference paper 2024
  19. Fast Heuristics for a Staff Scheduling Problem with Time Interval Demand Coverage

    Staff scheduling is a key component of supporting and increasing competitiveness for many service enterprises. This is of especially urgent concern...
    Igor Vasilyev, Anton V. Ushakov, ... Maria Lavrentyeva in Mathematical Optimization Theory and Operations Research
    Conference paper 2024
  20. Automated and Automatic Systems of Management of an Optimization Programs Package for Decisions Making

    It is known that, in spite of a large number of methods for numerical solutions to various classes of problems, the choice of the most efficient...
    Conference paper 2024
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