Results 71 to 80 of about 41,990 (276)

An implementation of the Dilkstra algorithm for fuzzy costs (Technical report 2018) [PDF]

, 2019
This report presents an implementation the Dijkstra algorithm applied to a type V fuzz graph. This new algorithm can find the shortest path in a graph with edge costs are defined as positive triangular fuzzy ...
Alonso, Sira, Ariza-Quintana, Alfonso, Joya-Caparrós, Gonzalo, Valdés, Lissette   +3 more
core   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Equivalence class in the set of fuzzy numbers and its application in decision-making problems

International Journal of Mathematics and Mathematical Sciences, 2006
An equivalence relation is defined in the set of fuzzy numbers. In a particular equivalence class, arithmetic operations of fuzzy numbers are introduced.
Geetanjali Panda, Motilal Panigrahi, Sudarsan Nanda   +2 more
doaj   +1 more source

Solving P - Norm Intuitionistic Fuzzy Programming Problem [PDF]

, 2015
In this paper, notion of p - norm generalized trapezoidal intuitionistic fuzzy numbers is introduced. A new ranking method is introduced for p - norm generalized trapezoidal intuitionistic fuzzy numbers.
Aggarwal, Shashi, Gupta, Chavi
core  

A generalized and unified approach to the approximation of fuzzy numbers and its arithmetic and characteristics [PDF]

, 2023
M. Berenguer, D. Gámez, A.I. Garralda-Guillem, M. Ruiz Galán   +3 more
openalex   +1 more source

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2)$$ {b}_{\mathrm{max}}=2000\kern0.3em \mathrm{s}/{\
Mustafa Abbas, Wenyin Zhou, Stephan E. Maier, Fredrik Langkilde, Stefan Kuczera   +4 more
wiley   +1 more source

Selection of an Appropriate Global Partner for Companies Using the Innovative Extension of the TOPSIS Method with Intuitionistic Hesitant Fuzzy Rough Information

Axioms
In this research, we introduce the intuitionistic hesitant fuzzy rough set by integrating the notions of an intuitionistic hesitant fuzzy set and rough set and present some intuitionistic hesitant fuzzy rough set theoretical operations. We compile a list
Attaullah, Sultan Alyobi, Mohammed Alharthi, Yasser Alrashedi   +3 more
doaj   +1 more source

On Fuzzy Arithmetic Operations: Some Properties and Distributive Approximations [PDF]

We analyze a decomposition of the fuzzy numbers (or intervals) which seems to be of interest in the study of some properties of fuzzy arithmetic operations and, in particular, in the analysis of fuzziness, of shape-preservation (symmetry) and ...
Luciano Stefanini, Maria Letizia Guerra
core  

Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model

, 2011
In this paper a method is proposed for performance evaluation of road traffic control systems. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control strategies.
A.A. Kurzhanskiy, B. Płaczek, B. Płaczek, C. Bone, C. Chang, C.L. Ramirez, I. Kosonen, K. Nagel, P. Sevastianov, S. Maerivoet, U. Lee, W. Kosiński, Y.G. Gong   +12 more
core   +1 more source

On an Aggregation Theory for Indicators Expressing Behaviors of Complex Systems With an Application to Sustainability

Sustainable Development, EarlyView.
ABSTRACT Certain attributes of large‐scale complex systems are often expressed through sets of indicators. For example, the sustainability of an entity, be it a nation, a city, an energy system, a corporation etc., can be effectively represented by indicators and corresponding data series.
Vassilis S. Kouikoglou, Yannis A. Phillis   +1 more
wiley   +1 more source