Results 21 to 30 of about 117,187 (270)
Granule Vectors and Granular Convolutional Classifiers
Convolutional operations can extract effective features and have been widely used in the field of deep learning. For the deficiency of convolution mainly dealing with numerical data, we propose a novel convolutional operator on granules with a set form ...
Yumin Chen +3 more
doaj +1 more source
Topological Approaches for Rough Continuous Functions with Applications
In this paper, we purposed further study on rough functions and introduced some concepts based on it. We introduced and investigated the concepts of topological lower and upper approximations of near-open sets and studied their basic properties.
A. S. Salama +3 more
doaj +1 more source
Rough Set Model based on Union Neighborhood
The rough set idea was presented asan approach to deal with the ambiguity or uncertainty of the data in information systems. The neighborhood (nbd) system is an essential tool for reducing the boundary area and increasing the accuracy of the measurement. The main focus of the present paperis to introduce the new type of union nbds (briefly, ??
Alka Tripathi, Priti Madan
openaire +1 more source
Novel Graph Neighborhoods Emerging from Ideals
Rough set theory is a mathematical approach that deals with the problems of uncertainty and ambiguity in knowledge. Neighborhood systems are the most effective instruments for researching rough set theory in general.
Ayşegül Çaksu Güler +4 more
doaj +1 more source
Six-Set Approximation Theorem of neighborhood related rough sets
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ma, Liwen, Lu, Hui
openaire +2 more sources
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey [PDF]
Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in electrical engineering and computer science. NTLs cause significant harm to the economy, as in
Bettinger, Franck +4 more
core +4 more sources
Port throughput influence factors based on neighborhood rough sets: An exploratory study
Purpose: The purpose of this paper is to devise a efficient method for the importance analysis on Port Throughput Influence Factors. Design/methodology/approach: Neighborhood rough sets is applied to solve the problem of selection factors.
Weiping Cui, Lei Huang, Ying Wang
doaj +1 more source
Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
doaj +1 more source
It is an important subject to mine valuable knowledge from complex and massive data in the era of big data. Rough set theory is a new mathematical tool for dealing with uncertain and inaccurate data, decision-theoretic rough set model (DTRS), as an ...
Jiajun Chen +3 more
doaj +1 more source
Neighborhood Rough Fuzzy Penetration Control Method with Variable Precision Based on GMAW
Considering the nonlinear, time-varying, and multivariate coupling nature of the welding process, achieving excellent control of the welding process can be challenging.
Xiaohong Xiang +7 more
doaj +1 more source

