<div>Background: The main objective of this research is to apply fuzzy logic to four Solonchaks, in order to determine their degree of remoteness or rapprochement with their central taxonomic concept. Therefore, we identify their possible seasonal taxonomic variation on the criteria established by World Reference Base (WRB).&nbsp; 
 
Methods: We have studied the seasonal evolution of salinity in a region of Algeria (Case of R&eacute;lizane), during two years 2012 and 2013 by applying fuzzy logic on the four soils. 
 
Result: The results reveal that the salinity increased during the dry period for all soils and it decreased during the wet period. On the taxonomic level, the application of fuzzy logic on the four soils revealed that the Solonchaks indices (Is) are always significantly higher than those of Calcisols indices (Ic). The four profiles have a similar behavior regarding the variation of Is. Indeed, when the salinity increases the soils come closer to the central taxonomic concept of the Solonchaks. Likewise, when the salinity decreases the soils move away from their central taxonomic concept. Consequently, they approach the central taxonomic concept of Calcisols. Thus, the variation of Isis closely related to the seasonal variation of salinity.&nbsp;Fuzzy logic, exhibited high precision concerning the membership value between soils over time. The application of fuzzy logic for other soil classifications in the world is possible.</div>

​Fuzzy Logic Expert System for Taxonomic Variation of Solonchaks

<div>Background: The present study aims to study the temporal evolution of the salinity of three profiles of Solonchaks which are in the region of R&eacute;lizane (Algeria). The aim is to determine the temporal changes in salinity between 2010 and 2014, by comparing saline profiles to determine the direction and intensity of variation in soil salinity. 
 
Methods: The experiment was carried out on three soil profiles (Solonchaks) which are located in the perimeter of the Mina which is located in the Bas-Ch&eacute;lif. 
 
Result: The study of the temporal evolution of salinity showed that the majority of horizons underwent desalination between the 2010 and 2014 campaign. This desalination occurred at a speed between 3.67 and 10.74 dS m-1 per year. This would be due to a partial leaching of salts from the surface horizons during the rainy season. The soils studied are marked by a higher salinity during the 2010 compared to the 2014 campaign. The principal component analysis (PCA) reveals that the chemical elements of the soil solution have the most weight on the variability of salinity, and the Wilcoxon test reveals that the difference between the EC of the 2010 campaign and that of 2014 is significant.</div>

​Fuzzy Logic Expert System for Taxonomic Variation of Solonchaks

Salinity Temporal Evolution Assessment under Mediterranean Conditions

Fuzzy Logic Expert System for Taxonomic Variation of Solonchaks