Fuzzy Logic Expert System for Classifying Solonchaks of Algeria
Under arid and semiarid regions of the North of Africa, the soils considered as Solonchaks contain both calcium carbonate and gypsum. When these elements are presented at high quantities, these Solonchaks are getting close to Calcisol or Gypsisol. The World Reference Base (WRB) for soil classificati...
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Wiley
2018-01-01
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| Series: | Applied and Environmental Soil Science |
| Online Access: | http://dx.doi.org/10.1155/2018/8741567 |
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| author | Samir Hadj Miloud Kaddour Djili Mohamed Benidir |
| author_facet | Samir Hadj Miloud Kaddour Djili Mohamed Benidir |
| author_sort | Samir Hadj Miloud |
| collection | DOAJ |
| description | Under arid and semiarid regions of the North of Africa, the soils considered as Solonchaks contain both calcium carbonate and gypsum. When these elements are presented at high quantities, these Solonchaks are getting close to Calcisol or Gypsisol. The World Reference Base (WRB) for soil classification does not take into account the soil as a continuum. Instead, this international soil system classification is based on threshold values that define hierarchical diagnostic criteria. Consequently, the distinction between Solonchaks, Calcisol, and Gypsisol is still not clear. To avoid this situation, fuzzy logic based on the Mamdani inference system (MFIS) was used to determine to what extent soil classified as Solonchak in WRB can interfere with Calcisols and Gypsisols. For that purpose, membership values of Solonchaks (Is), Calcisols (Ic), and Gypsisols (Ig) indices were calculated from 194 soil profiles previously classified as Solonchak in WRB. Data analyses revealed that Solonchaks soils were subdivided into Solonchaks (61%), Calcisols (1%), Gypsisols (0.5%), Solonchaks-Calcisols intergrades (29%), Solonchaks-Gypsisols intergrades (5%), and Solonchaks-Calcisols-Gypsisols intergrades (2%). Moreover, Is, Ic, and Ig showed high significant correlations with almost all WRB diagnostic criteria (P<0.05). Under our study, soil classification obtained by employing MFIS was analogous to that provided by WRB; however, MFIS exhibited high precision concerning the membership value between soils and their intergrades. Therefore, the application of MFIS for other soil classifications in the world is possible and could lead to improvement in conventional soil classification. |
| format | Article |
| id | doaj-art-879696a7f7974c6c8a49d950ffc9b460 |
| institution | OA Journals |
| issn | 1687-7667 1687-7675 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
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| series | Applied and Environmental Soil Science |
| spelling | doaj-art-879696a7f7974c6c8a49d950ffc9b4602025-08-20T02:09:03ZengWileyApplied and Environmental Soil Science1687-76671687-76752018-01-01201810.1155/2018/87415678741567Fuzzy Logic Expert System for Classifying Solonchaks of AlgeriaSamir Hadj Miloud0Kaddour Djili1Mohamed Benidir2Soil Science Department, Higher National Agronomic School (ENSA-ES1603), BP 16200 El Harrach, AlgeriaSoil Science Department, Higher National Agronomic School (ENSA-ES1603), BP 16200 El Harrach, AlgeriaUnit of Sétif, Institut National de la Recherche Agronomique (INRAA), El Harrach, AlgeriaUnder arid and semiarid regions of the North of Africa, the soils considered as Solonchaks contain both calcium carbonate and gypsum. When these elements are presented at high quantities, these Solonchaks are getting close to Calcisol or Gypsisol. The World Reference Base (WRB) for soil classification does not take into account the soil as a continuum. Instead, this international soil system classification is based on threshold values that define hierarchical diagnostic criteria. Consequently, the distinction between Solonchaks, Calcisol, and Gypsisol is still not clear. To avoid this situation, fuzzy logic based on the Mamdani inference system (MFIS) was used to determine to what extent soil classified as Solonchak in WRB can interfere with Calcisols and Gypsisols. For that purpose, membership values of Solonchaks (Is), Calcisols (Ic), and Gypsisols (Ig) indices were calculated from 194 soil profiles previously classified as Solonchak in WRB. Data analyses revealed that Solonchaks soils were subdivided into Solonchaks (61%), Calcisols (1%), Gypsisols (0.5%), Solonchaks-Calcisols intergrades (29%), Solonchaks-Gypsisols intergrades (5%), and Solonchaks-Calcisols-Gypsisols intergrades (2%). Moreover, Is, Ic, and Ig showed high significant correlations with almost all WRB diagnostic criteria (P<0.05). Under our study, soil classification obtained by employing MFIS was analogous to that provided by WRB; however, MFIS exhibited high precision concerning the membership value between soils and their intergrades. Therefore, the application of MFIS for other soil classifications in the world is possible and could lead to improvement in conventional soil classification.http://dx.doi.org/10.1155/2018/8741567 |
| spellingShingle | Samir Hadj Miloud Kaddour Djili Mohamed Benidir Fuzzy Logic Expert System for Classifying Solonchaks of Algeria Applied and Environmental Soil Science |
| title | Fuzzy Logic Expert System for Classifying Solonchaks of Algeria |
| title_full | Fuzzy Logic Expert System for Classifying Solonchaks of Algeria |
| title_fullStr | Fuzzy Logic Expert System for Classifying Solonchaks of Algeria |
| title_full_unstemmed | Fuzzy Logic Expert System for Classifying Solonchaks of Algeria |
| title_short | Fuzzy Logic Expert System for Classifying Solonchaks of Algeria |
| title_sort | fuzzy logic expert system for classifying solonchaks of algeria |
| url | http://dx.doi.org/10.1155/2018/8741567 |
| work_keys_str_mv | AT samirhadjmiloud fuzzylogicexpertsystemforclassifyingsolonchaksofalgeria AT kaddourdjili fuzzylogicexpertsystemforclassifyingsolonchaksofalgeria AT mohamedbenidir fuzzylogicexpertsystemforclassifyingsolonchaksofalgeria |