نتایج جستجو برای: fuzzy remote neighborhood systems

تعداد نتایج: 1369287  

Journal: :ژورنال بین المللی پژوهش عملیاتی 0
e. baloui jamkhaneh

investigation of reliability characteristics under fuzzy environments is proposed in this paper. fuzzy weibull distribution and lifetimes of components are using it described. formulas of a fuzzy reliability function, fuzzy hazard function and their α-cut set are presented. furthermore, the fuzzy functions of series systems and parallel systems are discussed, respectively. finally, some numeric...

Journal: :iranian journal of optimization 2010
a. kumar a. bansal a. neetu

different methods have been proposed for finding the non-negative solution of fully fuzzy linear system (ffls) i.e. fuzzy linear system with fuzzy coefficients involving fuzzy variables. to the best of our knowledge, there is no method in the literature for finding the non-negative solution of a ffls without any restriction on the coefficient matrix. in this paper a new computational method is ...

Journal: :journal of ai and data mining 2015
m. vahedi m. hadad zarif a. akbarzadeh kalat

this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

Journal: :iranian journal of fuzzy systems 0
dechao li school of mathematics, physics and information science, zhejiang ocean university, zhoushan, zhejiang, 316022, china and key laboratory of oceanographic big data mining and application of zhejiang province, zhoushan, zhejiang, 316022, china yongjian xie college of mathematics and information science, shaanxi normal university, xi'an, 710062, china

it is firstly proved that the multi-input-single-output (miso) fuzzy systems based on interval-valued $r$- and $s$-implications can approximate any continuous function defined on a compact set to arbitrary accuracy.  a formula to compute the lower upper bounds on the number  of interval-valued fuzzy sets needed to achieve a pre-specified approximation  accuracy for an arbitrary multivariate con...

Journal: :iranian journal of fuzzy systems 2014
mohsen zeinalkhani mahdi eftekhari

fuzzy decision tree (fdt) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. when a fdt induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. finding a proper threshold value for a stopping crite...

2015
Ranjana Sharma

Image classification is a process that may be affected by many factors. This paper is in regard of the classification techniques used for image processing and analysis using the concept of Fuzzy and Possibilities techniques, applied in each pixel of false-color satellite image By this paper examine classification approaches and the technique used for improving classification accuracy. By the in...

Journal: :Periódico Eletrônico Fórum Ambiental da Alta Paulista 2020

Journal: :journal of artificial intelligence in electrical engineering 2014
alireza soleimanzadeh

today air conditioning systems have been considered by all people as one of welfarerequirements in buildings and closed environments. since a considerable part of energy lossoccurs in ordinary modern systems, new strategies and solutions are developed in the field inorder to save amount of energy consumption and observe environmental considerations. fuzzycontrol is one of these methods which pr...

Journal: :Fuzzy Sets and Systems 2014
Shuai Sui Shaocheng Tong Yongming Li

In this paper, the adaptive fuzzy backstepping output feedback tracking control problem is considered for a class of uncertain stochastic multi-input and multi-output (MIMO) nonlinear systems in pure-feedback form. The stochastic MIMO nonlinear systems under study have unknown nonlinear functions, input saturation and immeasurable states. By using fuzzy logic systems to identify the uncertain n...

2013
Maryam Mosleh

In this paper, We interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large field called ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید