Quantifying Impact on Water Environment by Using Fuzzy Set Theory
| Author(s): |
Arif Khan
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development, 2019, n. 4, v. 9 |
| Page(s): | 1-12 |
| DOI: | 10.24247/ijcseierdaug20191 |
| Abstract: | Assessment of the impact of developmental activities on water environment is difficult to measure as numbers of parameters are involved in the overall assessment of water quality. Efforts have been taken to develop Water Quality Index to measure water quality (WQI) by considering various parameters involved in measuring quality of water. The impact can be measured by analyzing difference between quality of water before and after the project. Due to limitation involved in present indices more rational approach is needed to find quality of water. The parameters involved in calculating indices to measure water quality are different in all the cases. Due to limitation of the theory based on Crisp set on which these indices are based we need more advanced technique which can handle vague, fuzzy and imprecise values with a better approach. In order to minimize ambiguity, vagueness, uncertainty and subjectivity fuzzy inference system proved to be a more rational approach. In present work fuzzy set theory is used to analyze water quality. The difference between water quality before and after the project is designated as Fuzzy Impact on Water Environment (FIWE). |
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data sheet - Reference-ID
10334967 - Published on:
04/08/2019 - Last updated on:
04/08/2019
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