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An Application of the Multi Period Decision Trees in the Sustainable Medical Waste Investments

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Soft Computing Applications (SOFA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 634))

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Abstract

The decision making process built up on the decision tree technique is one of the most common methods used in almost all fields, in order to generate predictions and classify previously unseen data. In the present paper we will apply the multi period decision trees method in a sustainable medical waste investment process. The purpose of this study is to decide the best investment strategy which may be taken into consideration by a manager or entrepreneur who are interested to extend a sustainable medical waste business.

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Notes

  1. 1.

    In the framework of the European System of National Accounts (ESA2010), Eurostat collects data on general government expenditure by economic function according to the international Classification of the Functions of Government (COFOG).

  2. 2.

    Conference Report “Separate Waste collection in the context of a circular economy in Europe”, Brussels, January 2016.

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Acknowledgements

The authors are grateful for the support offered by the colleagues involved in the present research paper.

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Correspondence to Luiela Magdalena Csorba .

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Csorba, L.M., Crăciun, M. (2018). An Application of the Multi Period Decision Trees in the Sustainable Medical Waste Investments. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-62524-9_40

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  • DOI: https://doi.org/10.1007/978-3-319-62524-9_40

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