Results 231 to 240 of about 2,847,089 (287)
Adaptive Integral Sliding Mode Control for Temperature Regulation in Gas-Phase Ethylene Polymerization Fluidized Bed Reactors. [PDF]
Polymers (Basel)Ghasem N.
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Fuzzy Sets and Systems, 1987
A differential and integral calculus for fuzzy-set-valued mappings was developed in recent papers of Dubois and Prade, and Puri and Ralescu. The purpose of this paper is to study differential equations for fuzzy-set- valued mappings of a real variable whose values are normal, convex, upper semi-continuous and compactly supported fuzzy sets in \(R^ n\).
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A differential and integral calculus for fuzzy-set-valued mappings was developed in recent papers of Dubois and Prade, and Puri and Ralescu. The purpose of this paper is to study differential equations for fuzzy-set- valued mappings of a real variable whose values are normal, convex, upper semi-continuous and compactly supported fuzzy sets in \(R^ n\).
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The Behavior of Logistic Equation with Alley Effect in Fuzzy Environment: Fuzzy Differential Equation Approach [PDF]
International Journal of Applied and Computational Mathematics, 2018 In this paper a fuzzy logistic equation with alley effect is introduced by considering some parameter as fuzzy numbers. Due to presence of the fuzzy number the corresponding differential equation in logistic equation model with alley effect becomes fuzzy
Animesh Mahata +2 more
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Fuzzy Sets and Systems, 2000
The authors consider the following fuzzy initial value problem \[ {du(t)\over dt}= f(t,u(t)),\quad t\in [0,\infty),\quad u(0)= u_0\in E^n,\tag{1} \] where \({du\over dt}\) denotes the Hukuhara derivative of function \(u,f:[0, \infty)\times E^n\to E^n\) is continuous, and the set \[ E^n:= \{u\in\mathbb{R}^n\to [0,1]\mid u\text{ satisfies (i)}\sim \text{(
Jong-Yeoul Park, Hyo Keun Han
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The authors consider the following fuzzy initial value problem \[ {du(t)\over dt}= f(t,u(t)),\quad t\in [0,\infty),\quad u(0)= u_0\in E^n,\tag{1} \] where \({du\over dt}\) denotes the Hukuhara derivative of function \(u,f:[0, \infty)\times E^n\to E^n\) is continuous, and the set \[ E^n:= \{u\in\mathbb{R}^n\to [0,1]\mid u\text{ satisfies (i)}\sim \text{(
Jong-Yeoul Park, Hyo Keun Han
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Fuzzy differential equations by fuzzy-transform
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functions, is proposed to approximate the solution of ordinary, interval or fuzzy (levelwise) differential equations; in particular, one of the basic properties of inverse F-transform allows a good approximation of the solution x(t), starting with the uniform ...
Davide Radi, Luciano Stefanini
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ON FUZZINESS AND DUALITY IN FUZZY DIFFERENTIAL EQUATIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1996In this work we define a conjugate fuzzy Cauchy problem and discuss the major differences between an ordinary and a conjugate fuzzy Cauchy problems. A necessary condition for the existence of a fuzzy solution to the conjugate fuzzy Cauchy problem is proposed.
Abraham Kandel +2 more
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Fuzzy delay differential equations
Fuzzy Optimization and Decision Making, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vasile Lupulescu, Umber Abbas
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Solving Riccati Fuzzy Differential Equations
New Mathematics and Natural Computation, 2021In this paper, a method for solving Riccati fuzzy differential equations is studied in great detail. To obtain the solution of Riccati fuzzy differential equations (RFDEs), we study the fuzzy differential equations (FDEs) using the concept of generalized [Formula: see text]-differentiability.
F. Karimi +3 more
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Decision Analytics JournalFuzzy fractional differential has the strength to capture the senses of memory and uncertainty simultaneously involved in dynamical systems. However, a solution for fuzzy fractional differential equations is not always found regularly.
Payal Singh +2 more
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Fuzzy differential equations without fuzzy convexity
Fuzzy Sets and Systems, 2013Classical fuzzy differential equations defined in terms of the Hukuhara derivative depend critically on the convexity of the level sets and result in expanding level sets. Here Hullermeier's suggestion of defining fuzzy differential equations at each level set via differential inclusions is combined with ideas of Aubin on morphological equations, which
Peter E. Kloeden, Thomas Lorenz
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