Machine Learning with Multi-Criteria Decision Making Model for Thyroid Disease Prediction and Analysis

Deleted Journal, Год журнала: 2024, Номер 2, С. 80 - 88

Опубликована: Янв. 30, 2024

This study adopted a decision system model that includes machine learning (ML) and multi-criteria decision-making (MCDM) for thyroid prediction analysis. Many people face disease, so the early of this disease can aid around world in treatment. paper integrates ML algorithms with MCDM methodology. Three are used paper: logistic regression (LR), support vector (SVM), random forest classifier (RF). These to predict analyse disease. The results show RF has highest accuracy, precision, F1 score. 0.95 accuracy. SVM 1.0 recall Then, methodology is various criteria rank use best algorithm. TOPSIS method as an algorithms. mean compute weights. algorithm paper, followed by SVM, worst LR.

Язык: Английский

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Low Carbon Transformation Effect of Logistics Enterprises Based on Adaboost Regression Algorithm

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 334 - 345

Опубликована: Янв. 1, 2025

Язык: Английский

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Hybrid evolutionary algorithm for stochastic multiobjective disassembly line balancing problem in remanufacturing

Environmental Science and Pollution Research, Год журнала: 2023, Номер unknown

Опубликована: Апрель 28, 2023

Язык: Английский

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Evaluation of Enterprise Decarbonization Scheme Based on Grey-MEREC-MAIRCA Hybrid MCDM Method

Systems, Год журнала: 2023, Номер 11(8), С. 397 - 397

Опубликована: Авг. 2, 2023

Engineering and technological breakthroughs in sustainability play a crucial role reducing carbon emissions. An important aspect of this is the active participation enterprises addressing reduction as systemic approach. In response to government incentives People’s Republic China, Chinese have developed systems align their organizational goals with national long-term plans. This paper evaluates schemes employed by six companies multi-criteria decision-making (MCDM) problem. To end, we propose new hybrid MCDM method called grey-MEREC-MAIRCA method. combines recently based on removal effects criteria (MEREC) for weighting multi-attribute ideal-real comparative analysis (MAIRCA) grey system theory. The proposed provides additional benefit accounting uncertainty decision making. Notable findings research, decision-maker scores, are that control direct emissions energy-saving efficiency top priorities. contrast, committing corporate social responsibility through public welfare information disclosure considered lesser Furthermore, ranking results obtained using compared those from classical weighted sum model technique order preference similarity ideal solution (TOPSIS), confirming selection best company. Despite limitation steps needed evaluation, it opens up opportunities future research develop simpler methods under uncertainty.

Язык: Английский

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A multi-criteria decision-making model for analyzing a project-driven supply chain under interval type-2 fuzzy sets

Applied Soft Computing, Год журнала: 2023, Номер 148, С. 110902 - 110902

Опубликована: Окт. 5, 2023

Язык: Английский

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