AIMC Topic: Fuzzy Logic

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Homomorphisms of Lattice-Valued Intuitionistic Fuzzy Subgroup Type-3.

Computational intelligence and neuroscience
The lattice-valued intuitionistic fuzzy set was introduced by Gerstenkorn and Tepavcevi as a generalization of both the fuzzy set and the -fuzzy set by incorporating membership functions, nonmembership functions from a nonempty set to any lattice , ...

Point Tracking Technology of Sports Image Sequence Marks Based on Fuzzy Clustering Algorithm.

Computational intelligence and neuroscience
Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by ...

A hybrid machine learning approach for estimating the water-use efficiency and yield in agriculture.

Scientific reports
This paper introduces the narrow strip irrigation (NSI) method and aims to estimate water-use efficiency (WUE) and yield in apple orchards under NSI in the Miandoab region located southeast of Lake Urmia using a machine learning approach. To perform ...

Near Ground Pathloss Propagation Model Using Adaptive Neuro Fuzzy Inference System for Wireless Sensor Network Communication in Forest, Jungle and Open Dirt Road Environments.

Sensors (Basel, Switzerland)
In Wireless Sensor Networks which are deployed in remote and isolated tropical areas; such as forest; jungle; and open dirt road environments; wireless communications usually suffer heavily because of the environmental effects on vegetation; terrain;...

Green Recycling Supplier Selection of Shared Bicycles: Interval-Valued Pythagorean Fuzzy Hybrid Weighted Methods Based on Self-Confidence Level.

International journal of environmental research and public health
In the face of practical problems such as the increasing demand for shared bicycles and the number of faulty vehicles which are hard to handle and repair in time, shared bicycles operators tend to outsource recycling services to suppliers. To solve t...

Deep Possibilistic -means Clustering Algorithm on Medical Datasets.

Computational and mathematical methods in medicine
In the past, the possibilistic -means clustering algorithm (PCM) has proven its superiority on various medical datasets by overcoming the unstable clustering effect caused by both the hard division of traditional hard clustering models and the suscep...

Sensor Fault Diagnosis Using a Machine Fuzzy Lyapunov-Based Computed Ratio Algorithm.

Sensors (Basel, Switzerland)
Anomaly identification for internal combustion engine (ICE) sensors has become an important research area in recent years. In this work, a proposed indirect fuzzy Lyapunov-based computed ratio observer integrated with a support vector machine (SVM) w...

Fuzzy Logic System Implementation on the Performance Parameters of Health Data Management Frameworks.

Journal of healthcare engineering
The development of wireless sensors and wearable devices has led health care services to the new paramount. The extensive use of sensors, nodes, and devices in health care services generate an enormous amount of health data which is generally unstruc...

Interval type-2 fuzzy computational model for real time Kalman filtering and forecasting of the dynamic spreading behavior of novel Coronavirus 2019.

ISA transactions
This paper presents a computational model based on interval type-2 fuzzy systems for analysis and forecasting of COVID-19 dynamic spreading behavior. The proposed methodology is related to interval type-2 fuzzy Kalman filters design from experimental...

Nonsynchronized State Estimation for Fuzzy Markov Jump Affine Systems With Switching Region Partitions.

IEEE transactions on cybernetics
This article investigates the state estimation issue of discrete-time Takagi-Sugeno fuzzy Markov jump affine systems that cover both traditional fuzzy Markov jump systems and fuzzy affine systems as two special cases. The original system is transform...