| Autor: |
Pattnaik, Punyasloka1, Dangayach, G. S.1 |
| Předmět: |
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| Zdroj: |
International Journal of Environment & Sustainable Development. 2021, Vol. 20 Issue 2, p105-128. 24p. |
| Abstrakt: |
The textile industry is quickly growing worldwide and has a universally beneficial effect on the economy. The waste-water generated with the growth of the textile industry can cause considerable health and environmental issues if it is not treated properly. Generally, physical, biological, and chemical processes are used independently or in combination to treat textile waste-water. The efficiency of any treatment process depends on the working criteria. In this paper, we implemented a new hybrid methodology based on the fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) to help workers in textile industries select the optimal waste-water treatment process. To illustrate how this hybrid methodology can be used to address the waste-water treatment problem, we conducted a case study involving 11 assessment criteria and four treatment processes used in the textile industry in India. Comparative analysis indicated that the survey overall mean was slightly lower than the overall mean for selected companies in the treatment process. [ABSTRACT FROM AUTHOR] |
| Databáze: |
GreenFILE |
| Externí odkaz: |
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