Fuzzy regression analysis: systematic review and bibliography
N Chukhrova, A Johannssen - Applied Soft Computing, 2019 - Elsevier
Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …
one or several independent variable (s) on a dependent variable. It is the most widely used …
Portfolio selection problems with Markowitz's mean–variance framework: a review of literature
Since the pioneering work of Harry Markowitz, mean–variance portfolio selection model has
been widely used in both theoretical and empirical studies, which maximizes the investment …
been widely used in both theoretical and empirical studies, which maximizes the investment …
Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions
OA Arqub, M Al-Smadi - Soft Computing, 2020 - Springer
The aim of this article is to propose a new definition of fuzzy fractional derivative, so-called
fuzzy conformable. To this end, we discussed fuzzy conformable fractional integral softly …
fuzzy conformable. To this end, we discussed fuzzy conformable fractional integral softly …
Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations
O Abu Arqub - Neural Computing and Applications, 2017 - Springer
In this article, we propose the reproducing kernel Hilbert space method to obtain the exact
and the numerical solutions of fuzzy Fredholm–Volterra integrodifferential equations. The …
and the numerical solutions of fuzzy Fredholm–Volterra integrodifferential equations. The …
A Novel Z-Network Model Based on Bayesian Network and Z-Number
W Jiang, Y Cao, X Deng - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
Z-number is an effective model to describe uncertainty in the real world. Under the condition
that uncertainty reasoning is an important issue to process information, how to achieve Z …
that uncertainty reasoning is an important issue to process information, how to achieve Z …
[图书][B] Computational intelligence
Computational Intelligence comprises concepts, paradigms, algorithms, and
implementations of systems that are supposed to exhibit intelligent behavior in complex …
implementations of systems that are supposed to exhibit intelligent behavior in complex …
Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
O Abu Arqub, M Al-Smadi, S Momani, T Hayat - Soft Computing, 2016 - Springer
Modeling of uncertainty differential equations is very important issue in applied sciences and
engineering, while the natural way to model such dynamical systems is to use fuzzy …
engineering, while the natural way to model such dynamical systems is to use fuzzy …
Imprecise probabilities in engineering analyses
Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …
conditions and loads are challenging phenomena in engineering analyses. They require …