Fuzzy Logic Expert System for Classifying Solonchaks of Algeria

المؤلفون المشاركون

Hadj Miloud, Samir
Djili, Kaddour
Benidir, Mohamed

المصدر

Applied and Environmental Soil Science

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-07-08

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

علم الأرض والمياه والبيئة

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hadj Miloud, Samir& Djili, Kaddour& Benidir, Mohamed. 2018. Fuzzy Logic Expert System for Classifying Solonchaks of Algeria. Applied and Environmental Soil Science،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1117685

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hadj Miloud, Samir…[et al.]. Fuzzy Logic Expert System for Classifying Solonchaks of Algeria. Applied and Environmental Soil Science No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1117685

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hadj Miloud, Samir& Djili, Kaddour& Benidir, Mohamed. Fuzzy Logic Expert System for Classifying Solonchaks of Algeria. Applied and Environmental Soil Science. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1117685

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1117685