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Industrial Engineering and Management Systems ; 21(1):20-42, 2022.
Article in English | Web of Science | ID: covidwho-1822574

ABSTRACT

Renewable energy plays an important role in energy sustainability and environmental friendliness, for example in terms of biomass power, and is essential for generating electric power, which has a significant impact on sustainable energy for the future. The objective of this research, therefore, is to propose a sustainable method of assessment for biomass power plant site selection for electric power supply for field hospitals during the COVID-19 pandemic in Thailand In this research, based upon overlay map layers as an empirical study, the pandemic, as well as environmental friendliness, are considered in Thailand The Fuzzy Analytic Hierarchy Process (FAHP) has been applied in order to determine the weighting of the criteria. Furthermore, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) has also been applied in order to rank alternative locations. The contribution of this research lies in the development of an approach that is flexible in terms of sustainable assessment, in terms of both subjective and objective evaluation measures, in order to reduce bias in the decision-making process, as well as to include natural disaster assessment in providing guidelines for the location selection of a biomass power plant from the perspective of environment friendliness.

2.
21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021 ; : 143-148, 2021.
Article in English | Scopus | ID: covidwho-1713980

ABSTRACT

Since the beginning of the COVID-19 pandemic, the use of protective medical products has tremendously increased. The wastes generated by used products pose a threat to public health. Selection of alternative landfill sites to be determined for medical waste is a challenging task as there are several criteria to consider. Fuzzy multi-criteria decision making (MCDM) approaches can be employed to overcome this problem. In this study, the landfill sites evaluation for Covid-19 pandemic medical waste is investigated. Decision-makers give their judgments with intuitionistic fuzzy numbers and a novel circular intuitionistic fuzzy MCDM approach is developed for evaluating sites. As a contribution to the literature, this study extends the usage of circular intuitionistic fuzzy sets (C-IFS) in MCDM approaches by proposing defuzzification functions. The application of the proposed method is intended to guide future C-IFS MCDM methodologies. © 2021 IEEE.

3.
2021 IEEE International Conference on Engineering Veracruz, ICEV 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1672740

ABSTRACT

The current study presents useful digital monitoring tools for environmental impact assessment, sustainable development, safe infrastructures related to sustainable tourism, heritage and cultural tourism monuments, archaeological sites, water resources sports tourism sites, ecological landscape tourism sites close to landfill sites. Useful tools are presented for stakeholders examining particular digital utilities for decision making to mitigate toxic hazardous probable landfill gas's atmospheric pollution concentrations from landfill sites. In this paper are presented useful digital utilities as a framework of an integrated community health policy to support safe construction designs and proper monitoring schemes for public health protection and efficient economic designs. Integrated public health policy is presented within useful digital utilities applying proper management techniques for monitoring landfill emissions and decision making protecting community health and public health. Useful results are presented for sustainable construction facilities next to landfill sites that promote sustainable tourism, cultural - heritage tourism, sports tourism, ecological tourism and safety of associated community health infrastructures at post COVID-19 era within renewable resources from treated landfill emissions, green circular economy, clean technologies. © 2021 IEEE.

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