An Induction Algorithm with Selection Significance Based on a Fuzzy Derivative

2004 ◽  
pp. 131-149
Author(s):  
Musa A. Mamedov ◽  
John Yearwood
Keyword(s):  
Fuzzy Derivative

Revisiting albedo from a fuzzy perspective

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Morteza Pakdaman ◽  
Majid Habibi Nokhandan ◽  
Yashar Falamarzi
Keyword(s):  
Differential Equation ◽  
Energy Balance ◽  
Fuzzy Number ◽  
Climate Models ◽  
Energy Balance Model ◽  
Fuzzy Differential Equation ◽  
Balance Model ◽  
Content Type ◽  
Fuzzy Energy ◽  
Fuzzy Derivative

PurposeThe aim of this paper is to revisit the albedo for uncertainty. The albedo is considered as a fuzzy value due to some realistic reasons which they will be discussed in details. After defining an appropriate uncertain albedo by using fuzzy set theory, the related energy balance model is also redefined as a fuzzy differential equation by using the concept of fuzzy derivative.Design/methodology/approachThe well-known Earth energy balance model is redefined as a fuzzy differential equation by using the concept of fuzzy derivative. Thus, instead of an ordinary differential equation, a fuzzy differential equation arises which it's solution procedure will be discussed in details.FindingsResults indicate that the fuzzy uncertainty for albedo causes more real results after solving the fuzzy energy balance equation. Considering albedo as a fuzzy number is more realistic than considering a single certain number for albedo of a surface. This is due to this fact that the Earth's surface coverage is not crisp and the boundaries of different types of lands are not consistent. The proposed approach of this paper can help us to provide more realistic climate models and construct dynamical models which can model the albedo based on its variability.Originality/valueIn this paper, we defined fuzzy energy balance model as a fuzzy differential equation for the first time. We also, considered albedo as a fuzzy number which is another novel approach.

An Induction Algorithm with Selection Significance Based on a Fuzzy Derivative

2002 ◽  
pp. 223-235 ◽  
Author(s):  
Musa A. Mamedov ◽  
John Yearwood
Keyword(s):  
Fuzzy Derivative

A fuzzy derivative approach to classification of outcomes from the ADRAC database

2004 ◽  
Vol 11 (2) ◽  
pp. 169-179 ◽  
Author(s):  
M.A. Mamedov ◽  
G.W. Saunders ◽  
J. Yearwood
Keyword(s):  
Fuzzy Derivative

The generalized fuzzy derivative is interactive

2020 ◽  
Vol 519 ◽  
pp. 93-109 ◽  
Author(s):  
Vinícius F. Wasques ◽  
Estevão Esmi ◽  
Laécio C. Barros ◽  
Peter Sussner
Keyword(s):  
Fuzzy Derivative

scholarly journals Some properties of Fuzzy Derivative (I)

2012 ◽  
Vol 3 (3) ◽  
pp. 28-29
Author(s):  
Salah Mahdi Ali Salah Mahdi Ali
Keyword(s):  
Fuzzy Derivative

scholarly journals GATEAUX and FRÉCHET DERIVATIVE IN INTUITIONISTIC FUZZY NORMED LINEAR SPACES

2012 ◽  
Vol 08 (03) ◽  
pp. 311-322 ◽  
Author(s):  
BIVAS DINDA ◽  
T. K. SAMANTA ◽  
U. K. BERA
Keyword(s):  
Fréchet Derivative ◽  
Linear Spaces ◽  
Gâteaux Derivative ◽  
Frechet Derivative ◽  
Normed Linear Spaces ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Derivative ◽  
Gateaux Derivative

In this paper, we introduce intuitionistic fuzzy derivative, intuitionistic fuzzy Gateaux derivative and intuitionistic fuzzy Fréchet derivative and some of their properties are studied. The relations between intuitionistic fuzzy Gateaux derivative and intuitionistic fuzzy Fréchet derivative are studied.

scholarly journals Interval-Valued Intuitionistic Fuzzy Derivative and Differential Operations

2016 ◽  
Vol 9 (1) ◽  
pp. 36-56 ◽  
Author(s):  
Hua Zhao ◽  
Zeshui Xu ◽  
Zeqing Yao
Keyword(s):  
Intuitionistic Fuzzy ◽  
Fuzzy Derivative ◽  
Interval Valued

New Definition of a Generalized Fuzzy Derivative

2014 ◽  
Vol 6 (3) ◽  
pp. 69-77
Author(s):  
Plotnikov
Keyword(s):  
Definition Of ◽  
Fuzzy Derivative
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