AIMC Topic: Fuzzy Logic

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A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.

IEEE transactions on cybernetics May 19, 2022
Existing research reveals that the misclassification rate for imbalanced data depends heavily on the problematic areas due to the existence of small disjoints, class overlap, borderline, and rare data samples. In this study, by stacking zero-order Ta...
Algorithms Learning Fuzzy Logic
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Picture Fuzzy Einstein Hybrid-Weighted Aggregation Operator and Its Application to Multicriteria Group Decision Making.

Computational intelligence and neuroscience May 14, 2022
As an extension of intuitionistic fuzzy sets (IFSs), picture fuzzy sets (PFSs) can better model and represent the hesitancy and uncertainty of decision makers' preference information. In this study, we propose a multicriteria group decision making (M...
Fuzzy Logic Decision Making Uncertainty
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Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification.

Computational intelligence and neuroscience May 14, 2022
Recently, bioinformatics and computational biology-enabled applications such as gene expression analysis, cellular restoration, medical image processing, protein structure examination, and medical data classification utilize fuzzy systems in offering...
Artificial Intelligence Algorithms Animals Male Computational Biology Fuzzy Logic Gene Expression
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Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring.

Sensors (Basel, Switzerland) May 12, 2022
The development of a machine's condition monitoring system is often a challenging task. This process requires the collection of a sufficiently large dataset on signals from machine operation, context information related to the operation conditions, a...
Algorithms Fuzzy Logic Monitoring, Physiologic Knowledge
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Investigating a Dual-Channel Network in a Sustainable Closed-Loop Supply Chain Considering Energy Sources and Consumption Tax.

Sensors (Basel, Switzerland) May 6, 2022
This paper proposes a dual-channel network of a sustainable Closed-Loop Supply Chain (CLSC) for rice considering energy sources and consumption tax. A Mixed Integer Linear Programming (MILP) model is formulated for optimizing the total cost, the amou...
Algorithms Fuzzy Logic Iran Uncertainty Renewable Energy
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The research for PLTS normalization method based on minimum entropy change and its application in MAGDM problem.

PloS one May 6, 2022
In the problem of multiple attributes group decision making (MAGDM), the probabilistic linguistic term sets (PLTSs) is an useful tool which can be more flexible and accurate to express the evaluation information of decision makers (DMs). However, due...
Fuzzy Logic Decision Making Entropy Linguistics Uncertainty
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Rainfall Prediction System Using Machine Learning Fusion for Smart Cities.

Sensors (Basel, Switzerland) May 4, 2022
Precipitation in any form-such as rain, snow, and hail-can affect day-to-day outdoor activities. Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before due to...
Machine Learning Cities Support Vector Machine Fuzzy Logic Bayes Theorem
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Action selection in risk assessment with fuzzy Fine-Kinney-based AHP-TOPSIS approach: a case study in gas plant.

Environmental science and pollution research international May 2, 2022
In this study, the hazards occurring in a medium-sized gas filling facility were defined, and the risk scores of these hazards were determined by the expert team according to the Fine-Kinney risk analysis method. However, since the same risk signific...
Risk Assessment Fuzzy Logic
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Cloud-based neuro-fuzzy hydro-climatic model for water quality assessment under uncertainty and sensitivity.

Environmental science and pollution research international Apr 29, 2022
River water quality is a function of various bio-physicochemical parameters which can be aggregated for calculating the Water Quality Index (WQI). However, it is challenging to model the nonlinearity and uncertain behavior of these parameters. When d...
Fuzzy Logic Oxygen Water Quality Rivers Cloud Computing Uncertainty
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Double hierarchy hesitant fuzzy linguistic information based framework for personalized ranking of sustainable suppliers.

Environmental science and pollution research international Apr 29, 2022
With the growing appetite for reducing carbon footprint, organizations are tirelessly working towards green practices and one such crucial practice is purchasing raw materials from sustainable suppliers (SSs). Inspired by the drift in purchase habits...
Algorithms Fuzzy Logic Decision Making Linguistics
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