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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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
2013-05-01
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Series: | Journal of Applied Sciences and Environmental Management |
Online Access: | https://www.Ajol.Info/index.php/jasem/article/view/88778 |
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Summary: | 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. @JASEM
Keywords: Fuzzy classifier, fuzzy logic, fuzzy set, Water
J. Appl. Sci. Environ. Manage. Sept, 2011, Vol. 15 (3) 523 - 529 |
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ISSN: | 2659-1502 2659-1499 |