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Generalized differentiability of fuzzy-valued functions

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TLDR
Using novel generalizations of the Hukuhara difference for fuzzy sets, new generalized differentiability concepts for fuzzy valued functions are introduced and studied.
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This article is published in Fuzzy Sets and Systems.The article was published on 2013-11-01 and is currently open access. It has received 497 citations till now. The article focuses on the topics: Fuzzy number & Fuzzy set.

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Citations
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Fuzzy optimization in gH- symmetrically differentiable fuzzy function of several variables

TL;DR: This paper defines a new concept called Levelwise generalized hukuhara symmetric (LgHs) derivative of functions which are of fuzzy valued and with several variables and introduces a concept of midpoint and radius function which allows for a connection between generalized gHs differentiability and classic definitions for the cases of differentiability in functions which is real valued.
Posted Content

On Ekeland's variational principle for interval-valued functions with applications

TL;DR: In this article, the Dancs-Hegedus-Medvegyev theorem was derived for interval-valued functions and two versions of Ekeland's variational principle involving generalized Hukuhara Gateaux differentiability were derived.
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Directional derivatives and subdifferential of convex fuzzy mapping on n-dimensional time scales and applications to fuzzy programming

TL;DR: In this paper , the notions of directional derivative, differential and subdifferential of fuzzy mapping f : Λ n → F 1 , where ǫ n denotes a n-dimensional time scale and F 1 is the fuzzy number space are discussed.
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A fuzzy mathematical model for tumor growth pattern using generalized Hukuhara derivative and its numerical analysis

TL;DR: In this article , a fuzzy environment has been designed to address a more accurate mathematical tumor growth model and the complete pattern of tumor growth mechanism is captured with the fuzzy mathematical model using fuzzy differential equation.
References
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Journal ArticleDOI

Fuzzy differential equations

Osmo Kaleva
TL;DR: F fuzzy-set-valued mappings of a real variable whose values are normal, convex, upper semicontinuous and compactly supported fuzzy sets in Rn are studied and the existence and uniqueness theorem for a solution to a fuzzy differential equation is given.
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Elementary fuzzy calculus

TL;DR: This paper shall view fuzzy numbers in a topological vector space setting using the customary vector space operations together with the metric given in [4] to define differentiation and integration of fuzzy-valued functions in ways that parallel closely the corresponding definitions for real differentiation and Integration.
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Differentials of fuzzy functions

TL;DR: The Radstrom embedding theorem is generalized and is used to define the concept of the differential of a fuzzy function.
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Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations

TL;DR: generalized concepts of differentiability (of any order n@?N), which solves this shortcoming of fuzzy number differentiability, are introduced and some concrete applications to partial and ordinary fuzzy differential equations with fuzzy input data of the form c@?g(x).
Journal ArticleDOI

On the fuzzy initial value problem

TL;DR: Generalizations to fuzzy integral equations and fuzzy functional differential equations are indicated and the extension principle and the use of extremal solutions of deterministic initial value problems are applied.
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