A fuzzy sustainable model for COVID-19 medical waste supply chain network
暂无分享,去创建一个
[1] P. Melin,et al. Design of Type-3 Fuzzy Systems and Ensemble Neural Networks for COVID-19 Time Series Prediction Using a Firefly Algorithm , 2022, Axioms.
[2] P. Melin,et al. Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction , 2022, Engineering applications of artificial intelligence.
[3] A. Abraham,et al. A sustainable-resilience healthcare network for handling COVID-19 pandemic , 2021, Annals of Operations Research.
[4] S. Kar,et al. RETRACTED ARTICLE: Picture fuzzy set-based decision-making approach using Dempster–Shafer theory of evidence and grey relation analysis and its application in COVID-19 medicine selection , 2021, Soft Computing.
[5] Arash Khalili Nasr,et al. A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries , 2021, Annals of operations research.
[6] F. Ahmad,et al. Sustainable production and waste management policies for COVID-19 medical equipment under uncertainty: A case study analysis , 2021, Computers & Industrial Engineering.
[7] E. Shadkam. Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management , 2021, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.
[8] A. Abraham,et al. An integrated sustainable medical supply chain network during COVID-19 , 2021, Engineering Applications of Artificial Intelligence.
[9] K. S. Ravichandran,et al. An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19) , 2021, Applied Soft Computing.
[10] Qazi Salman Khalid,et al. A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions , 2021, International journal of environmental research and public health.
[11] Luca Maria Gambardella,et al. A Tabu Search algorithm for the Probabilistic Orienteering Problem , 2021, Comput. Oper. Res..
[12] P. Melin,et al. Optimization using the firefly algorithm of ensemble neural networks with type-2 fuzzy integration for COVID-19 time series prediction , 2021, Soft Computing.
[13] B. Wahl,et al. Comparing COVID-19 vaccine allocation strategies in India: A mathematical modelling study , 2020, International Journal of Infectious Diseases.
[14] Kim Tien Ly,et al. A COVID-19 forecasting system using adaptive neuro-fuzzy inference , 2020, Finance Research Letters.
[15] Asmaa H. Rabie,et al. Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network , 2020, Applied Soft Computing.
[16] Konstantinos Nikolopoulos,et al. Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions , 2020, European Journal of Operational Research.
[17] Mohammad Reza Mahmoudi,et al. Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models , 2020, Chaos, Solitons & Fractals.
[18] B. Dubey,et al. Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic , 2020, Resources, Conservation and Recycling.
[19] J. Nieto,et al. Modeling and forecasting the COVID-19 pandemic in India , 2020, Chaos, Solitons & Fractals.
[20] A. Behnood,et al. Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA) , 2020, Chaos, Solitons & Fractals.
[21] Andrew Lewis,et al. Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..
[22] Jude W. Shavlik,et al. Knowledge-Based Artificial Neural Networks , 1994, Artif. Intell..
[23] Fred W. Glover,et al. Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..
[24] Phu-Hung Dinh,et al. A novel approach based on Grasshopper optimization algorithm for medical image fusion , 2021, Expert Syst. Appl..