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ARS Home » Southeast Area » Auburn, Alabama » Soil Dynamics Research » Research » Publications at this Location » Publication #253988
Title: Evaluation of Soil Quality: Application of Fuzzy Indicators

Author
item KRUEGER, E - Russian Academy Of Sciences
item KURTENER, D - Russian Academy Of Sciences
item Torbert, Henry - Allen

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 7/9/2010
Publication Date: 7/9/2010
Citation: Krueger, E., Kurtener, D., Torbert III, H.A. 2010. Evaluation of soil quality: application of fuzzy indicators. In: Kurtener, D., Yakushev, V.P., Torbert, H.A., Prior, S.A., and Krueger, E., editors. Applications of Soft Computing in Agricultural Field Experimentations. St. Petersburg, Russia: Agrophysical Research Institute. p. 118-130.

Interpretive Summary: The problem of assessing soil quality is considered as the fuzzy modeling task. Fuzzy indicator concept (FIC) is used as a general platform for the assessment of soil quality as a "degree or grade of perfection”. The FIC can be realized through the utilization of fuzzy soil quality indicators (FSQI). Two general types of FSQI can be defined: individual fuzzy soil quality indicators (IFSQI) and combined fuzzy soil quality indicators (CFSQI). To demonstrate the theoretical consideration for the application of CFSQI for soil quality, a simple example is illustrated in this chapter. It was found that the developed of this concept could be employed as the basis for the development of a new generation of soil quality tools software.

Technical Abstract: The problem of assessing soil quality is considered as the fuzzy modeling task. Fuzzy indicator concept (FIC) is used as a general platform for the assessment of soil quality as a "degree or grade of perfection”. The FIC can be realized through the utilization of fuzzy soil quality indicators (FSQI). Two general types of FSQI can be defined: individual fuzzy soil quality indicators (IFSQI) and combined fuzzy soil quality indicators (CFSQI). To demonstrate the theoretical consideration for the application of CFSQI for soil quality, a simple example is illustrated in this chapter. It was found that the developed of this concept could be employed as the basis for the development of a new generation of soil quality tools software.