Results 51 to 60 of about 629,876 (287)

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2012
The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm
C.J. Carmona   +3 more
doaj   +1 more source

On Cubic Fuzzy Groups and Cubic Fuzzy Normal Subgroups

open access: yesScience Journal of University of Zakho, 2022
In this paper, the notions of cubic fuzzy groups and cubic fuzzy normal subgroups are introduced. The internal, external of cubic sets, (P-,R-) order, (P-,R-) intersection and (P-,R-) union of cubic fuzzy groups are investigated and some related ...
Kardo Sleman Haso, Alias Barakat Khalaf
doaj   +1 more source

An Interpretable, Data‐Driven, Hierarchical Multi‐Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

open access: yesAdvanced Science, EarlyView.
An AI‐enabled digital twin framework integrates wearable EMG sensing with hierarchical multi‐domain fusion to classify chronic ankle instability, distinguish clinically relevant subtypes, and generate continuous motor function scores. Clinically interpretable functional stratification and SHAP‐based biomarker analysis provide transparent decision ...
Tianle Jie   +12 more
wiley   +1 more source

Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]

open access: yes, 2008
A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core   +4 more sources

Roughness in Fuzzy Cayley Graphs

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2023
Rough set theory is a worth noticing approach for inexact and uncertain system modelling. When rough set theory accompanies with fuzzy set theory, which both are a complementary generalization of set theory, they will be attended by potency in ...
M.H. Shahzamanian, B. Davvaz
doaj   +1 more source

Metabolic Memory in Cardiovascular Disease: Encoding, Propagation, and Therapeutic Targeting

open access: yesAdvanced Science, EarlyView.
Cardiovascular risk often persists after metabolic abnormalities are corrected. This conceptual Review frames such persistence as metabolic memory, encoded through a narrowing therapeutic window from reversible marks to irreversible damage, with continuous input from peripheral organs.
Cheng Cheng   +12 more
wiley   +1 more source

Bipolar Complex Fuzzy Subgroups

open access: yesMathematics, 2022
In this study, firstly, we interpret the level set, support, kernel for bipolar complex fuzzy (BCF) set, bipolar complex characteristic function, and BCF point.
Xiaopeng Yang   +2 more
doaj   +1 more source

Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]

open access: yes, 2011
When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez   +11 more
core   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]

open access: yes, 2009
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk   +5 more
core   +1 more source

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