IOWLAD-based MCDM model for the site assessment of a household waste processing plant under a Pythagorean fuzzy environment
Autor: | Shouzhen Zeng, Chonghui Zhang, Qiaoqian Hu, Weihua Su |
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Rok vydání: | 2021 |
Předmět: |
Ecology
Operations research Computer science Process (engineering) Geography Planning and Development Pythagorean theorem 0211 other engineering and technologies 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law Multiple-criteria decision analysis 01 natural sciences Fuzzy logic Operator (computer programming) Urban planning Robustness (computer science) Retrofitting 021108 energy 0105 earth and related environmental sciences |
Zdroj: | Environmental Impact Assessment Review. 89:106579 |
ISSN: | 0195-9255 |
DOI: | 10.1016/j.eiar.2021.106579 |
Popis: | Household waste pollution is the main restrictive factor for urban development that leads to an increase in calorific value and decrease in disposal capacity. To deal with the demand derived from household waste, the development of a new household waste processing plant is necessary, with site assessment being an issue of primary consideration. In this study, to evaluate alternatives, we proposed a multiple-criteria decision-making framework based on the Pythagorean fuzzy induced ordered weighted logarithmic averaging distance (PFIOWLAD) operator. For this purpose, during the decision-making process, we extend the induced ordered weighted logarithmic averaging distance (IOWLAD) operator to the Pythagorean fuzzy set (PFS), which can deal with uncertain information. Then, an illustrative case including five criteria, namely, construction cost, impact on the cost of retrofitting existing household waste processing plants, traffic efficiency, impact on surrounding residents, and refuse processing capacity equilibrium, along with five alternatives in Shanghai is investigated. The robustness and effectiveness of the proposed framework are verified by comparing the results with those determined using the previous approaches. |
Databáze: | OpenAIRE |
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