Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia
error analysis; fuzzy mathematics; optimization; regression analysis; resource depletion; sustainability; water demand; water management; water resource; water stress; water use; Kenyir Lake; Malaysia; Terengganu; West Malaysia; ground water; water; fuzzy logic; human; lake; Malaysia; Fuzzy Logic; G...
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Springer Science and Business Media Deutschland GmbH
2023
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my.uniten.dspace-262832023-05-29T17:08:40Z Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia Mohd Azlan N.N.I. Abdul Malek M. Zolkepli M. Mohd Salim J. Ahmed A.N. 57221398340 57221404206 56429499300 57221391747 57214837520 error analysis; fuzzy mathematics; optimization; regression analysis; resource depletion; sustainability; water demand; water management; water resource; water stress; water use; Kenyir Lake; Malaysia; Terengganu; West Malaysia; ground water; water; fuzzy logic; human; lake; Malaysia; Fuzzy Logic; Groundwater; Humans; Lakes; Malaysia; Water Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and groundwater depletion. This study aims to overcome water deficit by analyzing water demand at Kenyir Lake, Terengganu, using a fuzzy inference system (FIS). The analysis is widened by comparing FIS with the multiple linear regression (MLR) method. FIS applied as an analysis tool provides good generalization capability for optimum solutions and utilizes human behavior influenced by expert knowledge in water resources management for fuzzy rules specified in the system, whereas MLR can simultaneously adjust and compare several variables as per the needs of the study. The water demand dataset of Kenyir Lake was analyzed using FIS and MLR, resulting in total forecasted water consumptions at Kenyir Lake of 2314.38�m3 and 1358.22 m3, respectively. It is confirmed that both techniques converge close to the actual water consumption of 1249.98 m3. MLR showed the accuracy of the water demand values with smaller forecasted errors to be higher than FIS did. To attain sustainable water demand management, the techniques used can be examined extensively by researchers, educators, and learners by adding more variables, which will provide more anticipated outcomes. � 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature. Final 2023-05-29T09:08:40Z 2023-05-29T09:08:40Z 2021 Article 10.1007/s11356-020-11908-4 2-s2.0-85099043270 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099043270&doi=10.1007%2fs11356-020-11908-4&partnerID=40&md5=81d457f54575471f12faedc6c93bf1b2 https://irepository.uniten.edu.my/handle/123456789/26283 28 16 20261 20272 Springer Science and Business Media Deutschland GmbH Scopus |
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| description |
error analysis; fuzzy mathematics; optimization; regression analysis; resource depletion; sustainability; water demand; water management; water resource; water stress; water use; Kenyir Lake; Malaysia; Terengganu; West Malaysia; ground water; water; fuzzy logic; human; lake; Malaysia; Fuzzy Logic; Groundwater; Humans; Lakes; Malaysia; Water |
| author2 |
57221398340 |
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57221398340 Mohd Azlan N.N.I. Abdul Malek M. Zolkepli M. Mohd Salim J. Ahmed A.N. |
| format |
Article |
| author |
Mohd Azlan N.N.I. Abdul Malek M. Zolkepli M. Mohd Salim J. Ahmed A.N. |
| spellingShingle |
Mohd Azlan N.N.I. Abdul Malek M. Zolkepli M. Mohd Salim J. Ahmed A.N. Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia |
| author_sort |
Mohd Azlan N.N.I. |
| title |
Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia |
| title_short |
Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia |
| title_full |
Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia |
| title_fullStr |
Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia |
| title_full_unstemmed |
Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia |
| title_sort |
sustainable management of water demand using fuzzy inference system: a case study of kenyir lake, malaysia |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| publishDate |
2023 |
| _version_ |
1806428032481624064 |
| score |
13.19449 |