«interval programming»

۲۰٬۶۴۵ نتیجه
  • source model for generating RR intervals in atrial fibrillation and beyond

    سند علمی۲۰۱۵Jie Lian, Gari D Clifford, Dirk Müssig, Volker Lang

    Background: Realistic modeling of cardiac inter-beat (RR) intervals is highly desirable for basic research in cardiac electrophysiology, clinical management of heart diseases, and developing signal processing tools for ECG analysis. Methods: We present an open source computer mod

  • Interval approaches for concurrent evaluation of design constraints

    سند علمی۲۰۱۵D Navinchandra, D. Navinchandra, J. R. Rinderle

    By concurrent design we mean, in pan, concurrent consideration of a broad range of life-cycle constraints concerning, for example manufacturing and maintenance. The multitude of constraints arising from these considerations make it difficult to identify satisfactory designs. An a

  • model for generating RR intervals in atrial fibrillation and beyond

    سند علمی۲۰۰۷Jie Lian, Gari D Clifford, Dirk Müssig, Volker Lang

    Background: Realistic modeling of cardiac inter-beat (RR) intervals is highly desirable for basic research in cardiac electrophysiology, clinical management of heart diseases, and developing signal processing tools for ECG analysis. Methods: We present an open source computer mod

  • An Improved Auto-Generation System to Obtain Reference Intervals for Laboratory Medicine

    سند علمی۲۰۱۰Healthcare informatics researchHyung Hoi Kim, Hae Sook Hong, Shine Young Kim, Tung Tran

    OBJECTIVES Reference values are highly required parameters for all tests in the clinical laboratory, and the supplementary provision of reliable reference intervals is an important task for both clinical laboratories and diagnostic test manufacturers. Despite the progress that ha

  • (2201-7210) A bilevel linear programming model with interval type-2 triangular fuzzy numbers

    مقاله۲۰۲۳Iranian Journal of Fuzzy SystemsN. Davoudi, F. Hamidi, H. Mishmast Nehi

    In the real world, the parameters of a problem may not be the crisp values. The fuzzy theory among the theories in which uncertainty plays a crucial role. Type-2 fuzzy sets generalize fuzzy sets. We consider a special type of such sets here.In this paper, we consider two issues.

  • Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Di erentiation

    سند علمی۱۹۹۹Max E. Jerrell

    Interval arithmetic and computational(automatic) di erentiation are powerful methods for use in optimization. Interval arithmetic operates on values which are intervals rather than points. This arithmetic can be used to examine large areas of a space, often eliminating portions o

  • Some Interval Approximation Techniques for MINLP

    سند علمی۲۰۰۹SARANicolas Berger, Laurent Granvilliers

    MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme combining several methods, such as linear programming, interval analysis, and cutting methods. Our goa

  • A Robust Inexact Joint-optimal a cut Interval Type-2 Fuzzy Boundary Linear Programming (RIJ-IT2FBLP) for energy systems planning under uncertainty

    سند علمی۲۰۱۵L. Jin, D. Cong

    In this study, a new Robust Inexact Joint-optimal a cut Interval Type-2 Fuzzy Boundary Linear Programming (RIJ-IT2FBLP) model is developed for planning of energy systems by integrating both the interval T2 fuzzy sets and the Inexact Linear Programming (ILP) methods. It intends to

  • Linear programming approach to solve interval-valued matrix games

    سند علمی۲۰۱۵Deng-Feng Li

    Matrix game theory is concerned with how two players make decisions when they are faced with known exact payoffs. The aim of this paper is to develop a simple and an effective linear programming method for solving matrix games in which the payoffs are expressed with intervals. Be

  • Interval Constraints

    سند علمی۲۰۰۹Encyclopedia of OptimizationFrédéric Benhamou

    Interval constraint processing is an alternative technology designed to process sets of (generally non-linear) continuous or mixed constraints over the real numbers. It associates propagation and search techniques developed in artiicial intelligence and methods from interval anal