A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition
Intuitionistic fuzzy set (IFS) is a representative model of fuzzy theory, and it is widely used to
deal with fuzzy and uncertain problems in many practical applications. In IFS theory, the …
deal with fuzzy and uncertain problems in many practical applications. In IFS theory, the …
Advanced fuzzy-logic-based context-driven control for HVAC management systems in buildings
LM Escobar, J Aguilar, A Garces-Jimenez… - IEEE …, 2020 - ieeexplore.ieee.org
Control in HVAC (heating, ventilation and air-conditioning) systems of buildings is not trivial,
and its design is considered challenging due to the complexity in the analysis of the …
and its design is considered challenging due to the complexity in the analysis of the …
Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platform
Abstract The Internet of Things (IoT) platforms must allow the communication between the
Applications and Devices according to their non-functional requirements. One of the main …
Applications and Devices according to their non-functional requirements. One of the main …
An intelligent sliding mode controller based on LAMDA for a class of SISO uncertain systems
This paper presents a new intelligent sliding mode controller based on LAMDA (Learning
Algorithm for Multivariate Data Analysis), a fuzzy method used for supervised and …
Algorithm for Multivariate Data Analysis), a fuzzy method used for supervised and …
Network intrusion detection based on dynamic intuitionistic fuzzy sets
J Xie, H Wang, JM Garibaldi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network security requires effective detection and proper analysis of abnormal network
behavior. To address the uncertainty associated with the process of network intrusion …
behavior. To address the uncertainty associated with the process of network intrusion …
A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis
Classically, in classification and clustering problems, an individual is exclusively assigned to
a class (labeled data) or a cluster (unlabeled data). However, the assignment to a single …
a class (labeled data) or a cluster (unlabeled data). However, the assignment to a single …
LAMDA-HAD, an Extension to the LAMDA Classifier in the Context of Supervised Learning
This paper proposes a new approach to improve the performance of Learning Algorithm for
Multivariable Data Analysis (LAMDA). This algorithm can be used for supervised and …
Multivariable Data Analysis (LAMDA). This algorithm can be used for supervised and …
Novel intuitionistic fuzzy distance based on tendency and its application in emergency decision-making
J Xie, X Xu, F Li - International Journal of Fuzzy Systems, 2023 - Springer
Intuitionistic fuzzy measures have been widely used in multi-attribute decision-making.
However, in the complex decision-making process, only a few distance measures take …
However, in the complex decision-making process, only a few distance measures take …
An automatic merge technique to improve the clustering quality performed by LAMDA
Clustering is a research challenge focused on discovering knowledge from data samples
whose goal is to build good quality partitions. In this paper is proposed an approach based …
whose goal is to build good quality partitions. In this paper is proposed an approach based …
Modeling and control of nonlinear systems using an Adaptive LAMDA approach
This paper presents a soft computing technique for modeling and control of nonlinear
systems using the online learning criteria. In order to obtain an accurate modeling, and …
systems using the online learning criteria. In order to obtain an accurate modeling, and …