BP neural network with rough set for short term load forecasting

Z Xiao, SJ Ye, B Zhong, CX Sun - Expert Systems with Applications, 2009 - Elsevier
Precise Short term load forecasting (STLF) plays a significant role in the management of
power system of countries and regions on the grounds of insufficient electric energy for …

Idealization of j-approximation spaces

M Hosny - Filomat, 2020 - doiserbia.nb.rs
The current work concentrates on generating different topologies by using the concept of the
ideal. These topologies are used to make more thorough studies on generalized rough set …

Roughness based on fuzzy ideals

B Davvaz - Information Sciences, 2006 - Elsevier
The theory of rough set, proposed by Pawlak and the theory of fuzzy set, proposed by Zadeh
are complementary generalizations of classical set theory. Many sets are naturally endowed …

[PDF][PDF] Mathematical innovations of a modern topology in medical events

ML Thivagar, C Richard, NR Paul - International Journal of …, 2012 - researchgate.net
The purpose of this paper is to introduce a new topology called Rough Topology in terms of
rough sets and prove that rough topology can be used to analyze many practical/real life …

Comparative study of variable precision rough set model and graded rough set model

X Zhang, Z Mo, F Xiong, W Cheng - International Journal of Approximate …, 2012 - Elsevier
The variable precision rough set model and graded rough set model are 2 important
extended rough set models. This paper aims to make a comparative study of the 2 models …

Generalized lower and upper approximations in a ring

S Yamak, O Kazancı, B Davvaz - Information Sciences, 2010 - Elsevier
In this paper, the concepts of set-valued homomorphism and strong set-valued
homomorphism of a ring are introduced, and related properties are investigated. The notions …

A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction

W Deng, W Li, X Yang - Expert Systems with Applications, 2011 - Elsevier
A novel hybrid optimization algorithm combining computational intelligence techniques is
presented to solve the multifactor highway passenger volume prediction problem. In this …

[PDF][PDF] Rough sets for feature selection and classification: An overview with applications

A Saxena, LK Gavel, MM Shrivas - International Journal of Recent …, 2014 - Citeseer
Rough set theory provides a useful mathematical concept to draw useful decisions from real
life data involving vagueness, uncertainty and impreciseness and is therefore applied …

Topological approach for rough sets by using J-nearly concepts via ideals

M Hosny - Filomat, 2020 - doiserbia.nb.rs
Topological concepts and methods have been applied as useful tools to study computer
science, information systems and rough set. Rough set was introduced by Pawlak. Its core …

Energy saving via a minimal structure

B Almarri, AA Azzam - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Not only mathematical statistics, differential equations, and mathematical models were used
to analyze and reduce data, but a rough set model is also employed in medical …