Decision analysis and methods
Shahla Jahangiri; Milad Abolghasemian; Adel Pourghader Chobar; Ahmadreza Nadaffard; Vahid Mottaghi
Abstract
China introduces a new strain of coronavirus as a causative of a new respiratory disease after several people contracted an unusual pneumonia in December 2019. The World Health Organization stated that the outbreak of the virus resulted in public health emergencies around the world. Humanitarian supply ...
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China introduces a new strain of coronavirus as a causative of a new respiratory disease after several people contracted an unusual pneumonia in December 2019. The World Health Organization stated that the outbreak of the virus resulted in public health emergencies around the world. Humanitarian supply chain management is concerned with managing the efficient flow of aid materials, information and services and aim to reduce the impact of disaster on human lives. In this paper, provides a ranking for key resources in the humanitarian supply chain in the emergency department of Iranian hospital using hybrid decision-making method under COVID-19 conditions. According to the obtain results, nurses in RK 1, receptionists RK 2, general surgeon RK 3, heart residents RK 4 and pulmonologist RK 5. Hybrid decision-making method in this paper is an invaluable contribution to the emergency department and medical managers for evaluates of current situation Emergency Department when crisis occur.
Decision analysis and methods
Vahid Mottaghi; Mahdi Esmaeili; Ghasem Ali Bazaee; Mohammadali Afshar Kazemi
Abstract
With the increase of news on social networks, a way to identify fake news has become an essential matter. Classification is a fundamental task in natural language processing (NLP). Convolutional neural network (CNN), as a popular deep learning model, has shown remarkable success in the task of fake news ...
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With the increase of news on social networks, a way to identify fake news has become an essential matter. Classification is a fundamental task in natural language processing (NLP). Convolutional neural network (CNN), as a popular deep learning model, has shown remarkable success in the task of fake news classification. In this paper, new baseline models were studied for fake news classification using CNN. In these models, documents are fed to the network as a 3-dimensional tensor representation to provide sentence-level analysis. Applying such a method enables the models to take advantage of the positional information of the sentences in the texts. Besides, analyzing adjacent sentences allows extracting additional features. The proposed models were compared with the state-of-the-art models using a collection of real and fake news extracted from Twitter about covid-19, and the fusion layer was used as the decision layer in selecting the best feature. The results showed that the proposed models had better performance, particularly in these documents, and the results were obtained with 97.33% accuracy for classification on Covid-19 after reviewing the evaluation criteria of the proposed decision system model.
Somayeh Hosseini Nogourani; Iraj Soltani; Mehdi Karbasian
Volume 1, Issue 3 , September 2014, , Pages 136-147
Abstract
Recognition and select appropriate strategies to improve the condition of organizations in the eve of the crisis is important. Due to proper planning horizons in strategy-focused organizations, risk and decision making under uncertainty is greatly reduced. Therefore, it's necessary to specification and ...
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Recognition and select appropriate strategies to improve the condition of organizations in the eve of the crisis is important. Due to proper planning horizons in strategy-focused organizations, risk and decision making under uncertainty is greatly reduced. Therefore, it's necessary to specification and characterization the relationship between strategic management and risk management and select the best strategy of it. Accordingly, in this paper to demonstrate a direct correlation between the results of managerial strategic decision making and environmental analysis of organizations to find its strategic condition is used compilation model that both of them in order to inappropriate condition of organization are for selection the best option. The strategic areas identified by analyzing the internal and external environment of the organization, which includes the recognition of strengths, weaknesses, opportunities and threats with the help of SWOT Matrix. Finally, based on the criteria and methods of Wald classical approaches, Hurwicz, Maximax, Savage, Laplace, mean-variance decisions are based on expectations, the most likely conditions, Expected Opportunity Loss (EOL), the cost of uncertainty, the coefficient of variation and limits of responsibility, two strategies are determined by the choice of strategies. Also research has been conducted in Epic Arya Carton and the results are presented.