Fuzzy Integral Equations

Author(s):  
James J. Buckley ◽  
Esfandiar Eslami ◽  
Thomas Feuring
1995 ◽  
Vol 72 (3) ◽  
pp. 373-378 ◽  
Author(s):  
Jong Yeoul Park ◽  
Young Chel Kwun ◽  
Jae Ug Jeong

2018 ◽  
Vol 9 (1-2) ◽  
pp. 16-27 ◽  
Author(s):  
Mohamed Abdel- Latif Ramadan ◽  
Mohamed R. Ali

In this paper, an efficient numerical method to solve a system of linear fuzzy Fredholm integral equations of the second kind based on Bernoulli wavelet method (BWM) is proposed. Bernoulli wavelets have been generated by dilation and translation of Bernoulli polynomials. The aim of this paper is to apply Bernoulli wavelet method to obtain approximate solutions of a system of linear Fredholm fuzzy integral equations. First we introduce properties of Bernoulli wavelets and Bernoulli polynomials, then we used it to transform the integral equations to the system of algebraic equations. The error estimates of the proposed method is given and compared by solving some numerical examples.


1999 ◽  
Vol 108 (2) ◽  
pp. 193-200 ◽  
Author(s):  
Jong Yeoul Park ◽  
Jae Ug Jeong

2014 ◽  
Vol 245 ◽  
pp. 1-17 ◽  
Author(s):  
Alexandru Mihai Bica ◽  
Constantin Popescu

2015 ◽  
Vol 2015 (3) ◽  
pp. 259-268
Author(s):  
Maryam Mosleh ◽  
Mahmood Otadi

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fahim Uddin ◽  
Khalil Javed ◽  
Hassen Aydi ◽  
Umar Ishtiaq ◽  
Muhammad Arshad

In this article, we are generalizing the concept of control fuzzy metric spaces by introducing orthogonal control fuzzy metric spaces. We prove some fixed point results in this setting. We provide nontrivial examples to show the validity of our main results and the introduced concepts. An application to fuzzy integral equations is also included. Our results generalize and improve several developments from the existing literature.


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