Results 11 to 20 of about 2,379 (265)

Some Remarks on Fuzzy sb-Metric Spaces

open access: yesMathematics, 2020
Fuzzy strong b-metrics called here by fuzzy sb-metrics, were introduced recently as a fuzzy version of strong b-metrics. It was shown that open balls in fuzzy sb-metric spaces are open in the induced topology (as different from the case of fuzzy b-metric
Tarkan Öner, Alexander Šostak
doaj   +1 more source

Finite Difference Method for Intuitionistic Fuzzy Partial Differential Equations

open access: yesComputer Sciences & Mathematics Forum, 2023
In this paper, we investigate an intuitionistic fuzzy Poisson equation with uncertain parameters, considering the parameters as intuitionistic fuzzy numbers. We apply a finite difference method to solve the ‘Intuitionistic fuzzy Poisson equation’.
Sushanta Man   +3 more
doaj   +1 more source

The Fuzzy Math of Solid Tumor Stem Cells: A Perspective [PDF]

open access: yesCancer Research, 2007
Abstract Apparently effective therapeutic agents very often fail to cure cancer patients. It is therefore attractive to wonder whether a specific resistant cell subset should be recognized and separately targeted. In solid tumors, such as carcinomas, a minor population of “cancer stem cells” has been proposed and sought experimentally
Scott E, Kern, Darryl, Shibata
openaire   +2 more sources

Some Certain Fuzzy Aumann Integral Inequalities for Generalized Convexity via Fuzzy Number Valued Mappings

open access: yesMathematics, 2023
The topic of convex and nonconvex mapping has many applications in engineering and applied mathematics. The Aumann and fuzzy Aumann integrals are the most significant interval and fuzzy operators that allow the classical theory of integrals to be ...
Muhammad Bilal Khan   +4 more
doaj   +1 more source

A Neuro-Fuzzy Technique for the Modeling of β-Glucosidase Activity from Agaricus bisporus

open access: yesBioChem, 2021
This paper proposes a neuro-fuzzy system to model β-glucosidase activity based on the reaction’s pH level and temperature. The developed fuzzy inference system includes two input variables (pH level and temperature) and one output (enzyme activity).
Huda Ansaf   +2 more
doaj   +1 more source

Novel Models of Fuzzy Rough Coverings Based on Fuzzy α-Neighborhood and its Application to Decision-Making

open access: yesIEEE Access, 2020
Recently, the concept of a fuzzy $\alpha $ - neighborhood operator with reflexivity was established and a fuzzy rough set covering based on a fuzzy $\alpha $ - neighborhood operator was defined by Zhang et al. As a generalization of Zhang et al. models,
Jue Ma   +4 more
doaj   +1 more source

An Application to Nonlinear Fractional Differential Equation via αF-Fuzzy Contractive Mappings in a Fuzzy Metric Space

open access: yesMathematics, 2022
In this paper, we first introduce a new family of functions like an implicit function called Γ-functions. Furthermore, we introduce a new concept of α-ΓF-fuzzy contractive mappings, which is weaker than the class of fuzzy F-contractive mappings.
Uma Devi Patel, Stojan Radenović
doaj   +1 more source

EDUCATION GAME MATH MENGGUNAKAN ALGORITMA FUZZY SUGENO

open access: yesJurnal RESISTOR (Rekayasa Sistem Komputer), 2021
The quality of education is very important for success in learning, by using various methods or tools to make it easier for students to understand discrete mathematics material, based on the 23% graduation rate of students who do not complete discrete mathematics at XYZ University, it is necessary to innovate learning applications, use The game ...
Lukman Hakim   +1 more
openaire   +2 more sources

Semiring-Valued Fuzzy Sets and F-Transform

open access: yesMathematics, 2021
The notion of a semiring-valued fuzzy set is introduced for special commutative partially pre-ordered semirings, including basic operations with these fuzzy structures. It is showed that many standard MV-algebra-valued fuzzy type structures with standard
Jiří Močkoř
doaj   +1 more source

Ridge Fuzzy Regression Modelling for Solving Multicollinearity

open access: yesMathematics, 2020
This paper proposes an α-level estimation algorithm for ridge fuzzy regression modeling, addressing the multicollinearity phenomenon in the fuzzy linear regression setting. By incorporating α-levels in the estimation procedure, we are able to construct a
Hyoshin Kim, Hye-Young Jung
doaj   +1 more source

Home - About - Disclaimer - Privacy