Results 21 to 30 of about 154,343 (299)

The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades

open access: yesJournal of Harbin University of Science and Technology, 2019
In order to improve the reliability analysis precision of turbine blades, the fuzzy response surface method (FRSM, Fuzzy Response Surface Method) of structural reliability analysis is put forward considering the fuzziness of input variables and limit ...
PAN Cheng-yi   +2 more
doaj   +1 more source

New Fuzzy Extensions on Binomial Distribution

open access: yesAxioms, 2022
The use of discrete probabilistic distributions is relevant to many practical tasks, especially in present-day situations where the data on distribution are insufficient and expert knowledge and evaluations are the only instruments for the restoration of
Gia Sirbiladze   +4 more
doaj   +1 more source

Plithogenic Probability & Statistics are generalizations of MultiVariate Probability & Statistics [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
In this paper we exemplify the types of Plithogenic Probability and respectively Plithogenic Statistics. Several applications are given. The Plithogenic Probability of an event to occur is composed from the chances that the event occurs with respect to ...
Florentin Smarandache
doaj   +1 more source

Structural hybrid reliability index and its convergent solving method based on random–fuzzy–interval reliability model

open access: yesAdvances in Mechanical Engineering, 2016
Aiming to resolve the problems of a variety of uncertainty variables that coexist in the engineering structure reliability analysis, a new hybrid reliability index to evaluate structural hybrid reliability, based on the random–fuzzy–interval model, is ...
Hai An, Ling Zhou, Hui Sun
doaj   +1 more source

Variable grouping in multivariate time series via correlation [PDF]

open access: yes, 2001
The decomposition of high-dimensional multivariate time series (MTS) into a number of low-dimensional MTS is a useful but challenging task because the number of possible dependencies between variables is likely to be huge.
Liu, X, Swift, S, Tucker, A
core   +1 more source

On Distribution Characteristics of a Fuzzy Random Variable

open access: yesAustrian Journal of Statistics, 2018
In this paper, rst a new notion of fuzzy random variables is introduced. Then, using classical techniques in Probability Theory, some aspects and results associated to a random variable (including expectation, variance, covariance, correlation coecient ...
Jalal Chachi
doaj   +1 more source

Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System [PDF]

open access: yes, 2012
Due to the inherent aleatory uncertainties in renewable generators, the reliability/adequacy assessments of distributed generation (DG) systems have been particularly focused on the probabilistic modeling of random behaviors, given sufficient informative
Li, Yanfu, Zio, Enrico
core   +3 more sources

Estimation of Hazard Rate and Mean Residual Life Ordering for Fuzzy Random Variable

open access: yesAbstract and Applied Analysis, 2015
L2-metric is used to find the distance between triangular fuzzy numbers. The mean and variance of a fuzzy random variable are also determined by this concept.
S. Ramasubramanian, P. Mahendran
doaj   +1 more source

Implementation of a Random Variable Universefuzzy Controller in Medical Helmet

open access: yesJournal of Harbin University of Science and Technology, 2023
The current adaptive fuzzy control methods was difficult to achieve good results in practical problems. Aiming at this problem , a fuzzy controller with a random variation domain was proposed. Firstly , a simple and accurate random scaling factor
WANGYue, ZHAOHui, ZHANGYuan, WULunhua
doaj   +1 more source

The Application of Imperialist Competitive Algorithm for Fuzzy Random Portfolio Selection Problem

open access: yes, 2013
This paper presents an implementation of the Imperialist Competitive Algorithm (ICA) for solving the fuzzy random portfolio selection problem where the asset returns are represented by fuzzy random variables.
Mohasefi, Jamshid Bagherzadeh   +1 more
core   +1 more source

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