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Fuzzy Logic

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An Integrated Quantitative Risk Assessment Method for Underground Engineering Fires.

International journal of environmental research and public health
Fires are one of the main disasters in underground engineering. In order to comprehensively describe and evaluate the risk of underground engineering fires, this study proposes a UEF risk assessment method based on EPB-FBN. Firstly, based on the EPB ...

Handover Optimization Algorithm Based on T2RFS-FNN.

Computational intelligence and neuroscience
As a key technology for highly reliable communication in the fifth generation mobile communication for railway (5G-R) high-speed railway wireless communication system, once the handover fails, it will pose a serious risk to the safe operation of high...

A novel two-phase group decision-making model for circular supplier selection under picture fuzzy environment.

Environmental science and pollution research international
Circular supply chain management (CSCM), which incorporates circular thinking into supply chain management, promotes supply chain sustainability by offering a novel and compelling viewpoint. In the CSCM, supplier selection is crucial in establishing ...

On the combination of adaptive neuro-fuzzy inference system and deep residual network for improving detection rates on intrusion detection.

PloS one
Deep Residual Networks (ResNets) are prone to overfitting in problems with uncertainty, such as intrusion detection problems. To alleviate this problem, we proposed a method that combines the Adaptive Neuro-fuzzy Inference System (ANFIS) and the ResN...

Graphic Model of Virtual Teaching Supervision through Fuzzy Logic in Non-University Educational Centers.

International journal of environmental research and public health
This research analyzes the supervision of non-university virtual training due to the unexpected non-face-to-face teaching scenario caused by COVID-19 with a graphic model using the SULODITOOL instrument. It arises as a research line of the Chair of E...

Prediction of Equipment Effectiveness using Hybrid Moving Average-Adaptive Neuro Fuzzy Inference System (MA-ANFIS) for decision support in Bus Body Building Industry.

Anais da Academia Brasileira de Ciencias
Managers are driven to accomplish significantly higher levels of operational performance due to the difficulty of today's dynamic production environment. Typically, the precision of production facilities and the efficiency of manufacturing systems ar...

Computer State Evaluation Using Adaptive Neuro-Fuzzy Inference Systems.

Sensors (Basel, Switzerland)
Several crucial system design and deployment decisions, including workload management, sizing, capacity planning, and dynamic rule generation in dynamic systems such as computers, depend on predictive analysis of resource consumption. An analysis of ...

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

Scientific reports
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 ...

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
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...

Develop a hybrid machine learning model for promoting microbe biomass production.

Bioresource technology
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...