Application of Data Clustering Embedded in Fuzzy Classifier Expert System for Water Quality Recognition
Water is the energy of life. Its usage and want far out stretch any Earth material (minerals, rocks, soil and water). In most cases the quantity of water obtains from its different sources are not quality enough for human usage due to the presence of contaminants. The application of several criteria...
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| Veröffentlicht in: | Journal of applied science & environmental management 2011-09, Vol.15 (3), p.523-523 |
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| creator | Obi, J C Imianvan, A A |
| description | Water is the energy of life. Its usage and want far out stretch any Earth material (minerals, rocks, soil and water). In most cases the quantity of water obtains from its different sources are not quality enough for human usage due to the presence of contaminants. The application of several criteria for the recognition of water quality ("Might be pure", "pure" and "Not pure") is the focal point of this paper. The conventional traditional) methods for water quality recognition employed by different individuals are expressed using Fuzzy classifier. The proposed expert system eliminates uncertainties and imprecision associated with the recognition of water quality. [PUBLICATION ABSTRACT] |
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| identifier | ISSN: 1119-8362 |
| ispartof | Journal of applied science & environmental management, 2011-09, Vol.15 (3), p.523-523 |
| issn | 1119-8362 |
| language | eng |
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| source | African Journals Online (Open Access); Bioline International; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Free Full-Text Journals in Chemistry |
| title | Application of Data Clustering Embedded in Fuzzy Classifier Expert System for Water Quality Recognition |
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