An Interval-Valued Best–Worst Method with Normal Distribution for Multi-criteria Decision-Making

Qu, Shaojian; Xu, Yan; Wu, Zhongqing; Zhang, Xu; Ji, Ying; Qu, Deqiang; Han, Yefan

doi:10.1007/s13369-020-05035-y

Cited by 31 publications

(13 citation statements)

References 48 publications

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“…Another general issue worth mentioning is the empirical research in the green supply chain management with the use of actual data. For example, Qu et al [ 41 ] discussed the three stage multi-criteria decision making (MCDM) method considering the interval valued best worst method (BWM) and social networks including the three main modules. Qu et al [ 42 ] analyzed the uncertainty in the prediction and management of CO 2 emissions by using the robust minimum entropy approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain

Yuan

Tang

Zhang

et al. 2021

IJERPH

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In reverse green supply chain, the mixed collection channel strategy of green remanufacturer is analyzed by building a dynamic game model in which we consider that the green remanufacturer undertakes the environmental responsibility and the green collector shows strong fairness concern for the profit. We analyze the impact of the environmental responsibility level of the green remanufacturer, the preference coefficient of the green remanufacturer, the fairness concern coefficient of the green collector, and the coefficient of cross collection price on optimal decision and profit of the green remanufacturer. The result shows that (1) the green remanufacturer can further improve the collection price, so that it makes many more customers participate in the collection activity; (2) the green remanufacturer pays more attention to fulfill the environmental responsibility, which will increase the intensity of collection of the waste green product, and improve the collection price, as the old green product’s remanufacturing cost is lower than the production cost of the new product, and it can improve the green remanufacturer’s profits; (3) the green remanufacturer’s profit in the mixed collection channel is higher than those in online or offline collection channels.

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Section: Literature Reviewmentioning

confidence: 99%

Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain

Yuan

Tang

Zhang

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…Other practical contributions of this guide are: (1) It allows a participatory process, as professionals may be asked to partake; Future research could lead to the improvement of this guide by using multi-criteria decision analysis to identify key factors related to the level of satisfaction of healthcare workers and environmental factors, as well as improving the weights of experts from a more objective perspective [67,68]. Therefore, this guide would be useful to reduce the ambiguity of different labour networks, as well as to look for an approach to the private sector, and even to the integration of primary care facilities and hospitals.…”

Section: Impact Statement For Policy Makers and Managersmentioning

confidence: 99%

Administration of Strategic Agreements in Public Hospitals: Considerations to Enhance the Quality and Sustainability of Mergers and Acquisitions

Monteros

Castro-Torres

Gómez‐Salgado

et al. 2021

IJERPH

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Merger processes between hospitals have high benefit potential for patients, staff and managers. This integration of health centres can improve the quality and safety in patient care. Additionally, cooperative processes enhance the sustainability of the health system, by increasing team spirit, giving innovative ideas and improving staff satisfaction. In this article, the critical factors for successful hospital mergers and acquisitions in the Public Health System were considered to develop a brief guide to help with the organisation of a merger process. Five sections were designed: Strategic administration and objectives, Staff management, New hospital complex structure, Processes and Results. This guide facilitates the communication between a variety of stakeholders, thus improving the engagement between all members of the new healthcare system. This could be particularly important for countries with large regional variance in the organisation of health care and resources.

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“…Various techniques were investigated for medical imaging such as multi-criteria decision-making and entropy optimization models [3,4]. Several studies examined distinct machine/deep learning methods for medical imaging diagnosis [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Hyperparameters optimization for ResNet and Xception in the purpose of diagnosing COVID-19

Farag

Said

Rizk

et al. 2021

IFS

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COVID-19 has been considered as a global pandemic. Recently, researchers are using deep learning networks for medical diseases’ diagnosis. Some of these researches focuses on optimizing deep learning neural networks for enhancing the network accuracy. Optimizing the Convolutional Neural Network includes testing various networks which are obtained through manually configuring their hyperparameters, then the configuration with the highest accuracy is implemented. Each time a different database is used, a different combination of the hyperparameters is required. This paper introduces two COVID-19 diagnosing systems using both Residual Network and Xception Network optimized by random search in the purpose of finding optimal models that give better diagnosis rates for COVID-19. The proposed systems showed that hyperparameters tuning for the ResNet and the Xception Net using random search optimization give more accurate results than other techniques with accuracies 99.27536% and 100 % respectively. We can conclude that hyperparameters tuning using random search optimization for either the tuned Residual Network or the tuned Xception Network gives better accuracies than other techniques diagnosing COVID-19.

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An Interval-Valued Best–Worst Method with Normal Distribution for Multi-criteria Decision-Making

Cited by 31 publications

References 48 publications

Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain

Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain

Administration of Strategic Agreements in Public Hospitals: Considerations to Enhance the Quality and Sustainability of Mergers and Acquisitions

Hyperparameters optimization for ResNet and Xception in the purpose of diagnosing COVID-19

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