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A new feature selection algorithm based on fuzzy-pathfinder optimization
Data mining and machine learning require feature selection because features can dramatically improve model performance. In contrast, there are no...
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Fuzzy C-Means Clustering of Network for Multi Mobile Agent Itinerary Planning
Mobile agent (MA) works potentially efficiently in reducing network bandwidth consumption for distributed computing. In an MA-based system, a...
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A cloud service composition method using a fuzzy-based particle swarm optimization algorithm
In today's dynamic business landscape, organizations heavily rely on cloud computing to leverage the power of virtualization and resource sharing....
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Improving fuzzy clustering model for probability density functions using the two-objective genetic algorithm
This paper proposes a fuzzy clustering model for probability density functions (PDFs) using the two-objective genetic algorithm. In this model, the
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Algorithm for Setting Fuzzy Logical Inclusion Systems Based on Statistical Data
An original algorithm for tuning zero-order Sugeno-type fuzzy inference systems based on statistical data is presented. The algorithm is based on...
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F-RFM-Miner: an efficient algorithm for mining fuzzy patterns using the recency-frequency-monetary model
In database marketing, recency, frequency, and monetary (RFM) analysis is an important tool to segment customers based on their recent purchase...
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FQBDDA: fuzzy Q-learning based DDoS attack detection algorithm for cloud computing environment
With on-demand resources, flexibility, scalability, dynamic nature, and cheaper maintenance costs, cloud computing technology has revolutionized the...
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Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK
Fuzzy clustering is an invaluable data mining technique that allows each data point to belong to more than one cluster with some degree of...
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A novel fuzzy control path planning algorithm for intelligent ship based on scale factors
The melting of Arctic ice has increased the value of Arctic ship**, making research on the Arctic route a popular topic. However, ships navigating...
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Convergence of the Harris hawks optimization algorithm and fuzzy system for cloud-based task scheduling enhancement
Task scheduling entails the allocation of various tasks to virtual machines. Consequently, scheduling algorithms are meticulously crafted to achieve...
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Multi-objective fuzzy krill herd congestion control algorithm for WSN
Wireless Sensor Network (WSN) consists of hundreds of devices with limited resources that collect, analyze, and transmit data to a base station. The...
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TL-FCM: A hierarchical prediction model based on two-level fuzzy c-means clustering for bike-sharing system
In recent years, shared bikes have gradually emerged into public life as a new way to travel and helped solve the last-mile problem of residents’...
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Strategic real time framework for healthcare using fuzzy C-means systems
Having enhancement of automation of sensor, huge information such as the big data are examined and has become yet another worldview for huge scope of...
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Fuzzy correlation based algorithm for UAV image mosaic construction
Aerial image mosaic construction is very important for obtaining a wide field of view with high-resolution image. After testing several image...
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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction
Harmony search (HS) is a form of stochastic meta-heuristic inspired by the improvisation process of musicians. In this study, a modified HS with a...
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Performance Enhancement in WSN Through Fuzzy C-Means Based Hybrid Clustering (FCMHC)
The researches in Wireless Sensor Networks (WSNs) strive for the efficient data transmission with optimized lifetime of the system. Load Balanced...
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Evaluating power system reform proposals based on the evidential reasoning algorithm with hesitant fuzzy information
The reforming and updating of power systems play a key role in promoting the low-carbon technology progress, saving non-renewable energy resources...
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Multi-objective Unequal Optimal Clustering Algorithm for WSN Using Fuzzy Logic
A wireless sensor network (WSN) is a network of sensors deployed in a specific area to monitor environmental characteristics. The primary objective...
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An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation
To design an efficient partial differential equation-based total variation method for denoising and possibilistic fuzzy c-means clustering algorithm...
