Cloud decision support framework for treatment technology selection of health-care waste
| العنوان: | Cloud decision support framework for treatment technology selection of health-care waste |
|---|---|
| المؤلفون: | Rui-Lu Huang, Min-hui Deng, Yong-yi Li, Jian-qiang Wang, Jun-Bo Li |
| المصدر: | Journal of Intelligent & Fuzzy Systems. 42:5565-5590 |
| بيانات النشر: | IOS Press, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Statistics and Probability, Artificial Intelligence, General Engineering |
| الوصف: | With the attention of people to environmental and health issues, health-care waste (HCW) management has become one of the focus of researchers. The selection of appropriate HCW treatment technology is vital to the survival and development of human beings. In the assessment process of HCW disposal alternative, the evaluation information given by decision makers (DMs) often has uncertainty and ambiguity. The expression, transformation and integration of this information need to be further studied. We develop an applicable decision support framework of HCW treatment technology to provide reference for relevant staff. Firstly, the evaluation information of DMs is represented by interval 2-tuple linguistic term sets (ITLTs). To effectively express qualitative information, the cloud model theory is used to process the linguistic information, a novel concept of interval 2-tuple linguistic integrated cloud (ITLIC) is proposed, and the relevant operations, distance measure and possibility degree of ITLICs are defined. Moreover, a weighted Heronian mean (HM) operator based ITLIC is presented to fuse cloud information. Secondly, the HCW treatment technology decision support model based on the BWM and PROMETHEE is established. Finally, the proposed model is demonstrated through an empirical example, and the effectiveness and feasibility of the model is verified by comparison with extant methods. |
| تدمد: | 1875-8967 1064-1246 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::554dabd8cdde03f4dcdacde137804158 https://doi.org/10.3233/jifs-212065 |
| رقم الأكسشن: | edsair.doi...........554dabd8cdde03f4dcdacde137804158 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18758967 10641246 |
|---|