AIMC Topic: Fuzzy Logic

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Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks.

Scientific reports Dec 5, 2022
In engineering practices, it is critical and necessary to either measure or estimate the uniaxial compressive strength (UCS) of the rock. Measuring the UCS of rocks requires comprehensive studies in the field and in the laboratory for the rock block ...
Compressive Strength Carbonates Machine Learning Fuzzy Logic Least-Squares Analysis Linear Models
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Analyzing factors contributing to COVID-19 mortality in the United States using artificial intelligence techniques.

Risk analysis : an official publication of the Society for Risk Analysis Dec 4, 2022
Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not being known profoundly, the novel virus of the Coronaviruses family has already caused more than half a million deaths and put the lives of many more p...
Humans Neural Networks, Computer United States Fuzzy Logic Artificial Intelligence COVID-19
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Develop a hybrid machine learning model for promoting microbe biomass production.

Bioresource technology Nov 29, 2022
Since the cultivation condition of microbe biomass production (mycelia yield) involves a variety of factors, it's a laborious process to obtain the optimal cultivation condition of Antrodia cinnamomea (A. cinnamomea). This study proposed a hybrid mac...
Machine Learning Biomass Neural Networks, Computer Mycelium Fuzzy Logic
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Fuzzy Control of Pressure in a Water Supply Network Based on Neural Network System Modeling and IoT Measurements.

Sensors (Basel, Switzerland) Nov 24, 2022
As hydroenergetic losses are inherent to water supply systems, they are a frequent issue which water utilities deal with every day. The control of network pressure is essential to reducing these losses, providing a quality supply to consumers, saving...
Cities Water Water Supply Fuzzy Logic Neural Networks, Computer
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A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets.

Artificial intelligence in medicine Nov 19, 2022
This study mainly aims to develop two effective and practical multi-criteria group decision-making approaches by taking advantage of the ground-breaking theory of PROMETHEE family of outranking methods. The presented variants of Preference Ranking Or...
Decision Making Mobile Health Units Hospitals, Special COVID-19 Humans Fuzzy Logic
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A New Consensus Model Based on Trust Interactive Weights for Intuitionistic Group Decision Making in Social Networks.

IEEE transactions on cybernetics Nov 18, 2022
A promising feature for group decision making (GDM) lies in the study of the interaction between individuals. In conventional GDM research, experts are independent. This is reflected in the setting of preferences and weights. Nevertheless, each exper...
Consensus Fuzzy Logic Trust Decision Making Social Networking Humans Female Male
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Adaptive Prescribed Performance Control of A Flexible-Joint Robotic Manipulator With Dynamic Uncertainties.

IEEE transactions on cybernetics Nov 18, 2022
An adaptive fuzzy control strategy is proposed for a single-link flexible-joint robotic manipulator (SFRM) with prescribed performance, in which the unknown nonlinearity is identified by adopting the fuzzy-logic system. By designing a performance fun...
Neural Networks, Computer Algorithms Fuzzy Logic Robotic Surgical Procedures Feedback
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Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation.

Sensors (Basel, Switzerland) Nov 18, 2022
Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM...
Brain Magnetic Resonance Imaging Fuzzy Logic Cluster Analysis Algorithms Probability
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Prediction of evaporation from dam reservoirs under climate change using soft computing techniques.

Environmental science and pollution research international Nov 17, 2022
This study aimed to predict evaporation from dam reservoirs using artificial intelligence considering climate change. Mahabad Dam, near Lake Urmia, in northwestern Iran, is used to investigate the proposed approach. There are three parts to the study...
Fuzzy Logic Climate Change Machine Learning Artificial Intelligence Algorithms
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A hybrid Bayesian BWM and Pythagorean fuzzy WASPAS-based decision-making framework for parcel locker location selection problem.

Environmental science and pollution research international Nov 14, 2022
One of the main causes of the significant commercial vehicle traffic in the city region is last-mile deliveries. Parcel lockers, which are one of the easiest and most environmentally friendly solutions for last-mile delivery, are one of the most stud...
Turkey Decision Making Bayes Theorem Fuzzy Logic Humans Cities
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