2018
DOI: 10.1007/978-3-030-01057-7_82
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Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform

Abstract: The uncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs) and the solutions of these equations are applied to analyze many engineering problems. However, it is very difficult to obtain solutions of FDEs. In this paper, the solutions of FDEs are approximated by utilizing the fuzzy Sumudu transform (FST) method. Here, the uncertainties are in the sense of Z-numbers. Important theorems are laid down to illustrate the properties of FST. The theoretical analysis and simulation results … Show more

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Cited by 17 publications
(9 citation statements)
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“…Case 3: The boundary conditions that can be measured are the initial flow rate and pressure head in the beginning of the pipeline. The inputs are (18) and outputs are (19) The proposed model, inputs as well as outputs are , and , respectively.…”
Section: Fig 3 Boundary Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Case 3: The boundary conditions that can be measured are the initial flow rate and pressure head in the beginning of the pipeline. The inputs are (18) and outputs are (19) The proposed model, inputs as well as outputs are , and , respectively.…”
Section: Fig 3 Boundary Conditionsmentioning
confidence: 99%
“…Current research works are mainly focused on modeling the observer, controller or fault detection methods [12] [13] [14] [15]. However, studying the observability and controllability of the pipeline is remarkably essential [16] [17] [18] [19]. In this paper, a novel technique is proposed to analyze and model the flow in the pipeline.…”
Section: Introductionmentioning
confidence: 99%
“…Artificial intelligence techniques are viewed as the most efficient techniques in recent decades [7][8][9][10][11][12][13][14][15][16][17][18]. For example, Fuzzy logic systems are broadly utilized to model the systems characterizing vague and unreliable information [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]. In artificial intelligence area [39,40], end-to-end dialog systems have been attained interest because of the current progress of deep neural networks.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy logic systems are broadly utilized to model the systems characterizing vague and unreliable information [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. During the years, investigators have proposed extensions to the theory of fuzzy logic.…”
Section: Introductionmentioning
confidence: 99%