Abstract
A qualitative assessment of land fertility can be done in the form of predicted crop yields. One of the main criteria of soil fertility is the yield of a given crop and a given variety. The degree of fertility depends on the type of soil and its moisture. In turn, the types of soils are in a certain correspondence with the temperature and humidity of the air, as the resultant parameters of the climate. For the adoption of management decisions, it is quite acceptable, as stages, to use the phases of development of agricultural crops (budding, fruit formation, maturation). Considered models of qualitative evaluation of fertility land with using the methods fuzzy mathematicians.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Orlovsky SA (1981) Decision problems with fuzzy source information. The Science, Мoskow
Bekmuratov TF, Mukhamedieva DT (2013) Methods and algorithms for the synthesis of fuzzy-neural decision-making models. Publishing house “Palmarium Academic Publishing”, AV Akademikerverlag GmbH & Co.KG Heinrich-Böcking, Saarbrucken, pp 6–8, 164 p. 66121
Mukhamedieva DT (2013) Solving the problems of multicriteria optimization in the presence of uncertainty of a non-static nature. Actual Problems of Modern Science, Moscow, № 2, pp 237–239
Mukhamedieva DT (2014) Development of fuzzy models of decision-making tasks. Publishing house Palmarium Academic Publishing. AV Akademikerverlag GmbH & Co.KG Heinrich-Böcking, Saarbrucken, pp 6–8, 190 p 66121
Mukhamedieva DT (2014) Application of soft calculation methods in weakly formalized systems. Publishing house “Palmarium Academic Publishing”, AV Akademikerverlag GmbH & Co.KG Heinrich-Böcking, pp 6–8, 181 p, 66121 Saarbrucken
Mukhamedieva D.T., Primova KA (2014) Approach to problem solving multicriterial optimization with fuzzy aim. Int J Math Comput Appl Res 4(2) issn (P): 2249-6955, 55-68pp, issn (E): 2249-8060, Impact Factor (JCC): 4.2949, USA
Bekmuratov TF, Mukhamedieva DT (2014) Approaches to the solution of the problem of multicriteria optimization with a fuzzy goal. Scientific journal “Problems of Informatics”. Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Issue 1, pp 3–9, Novosibirsk
Mukhamedieva DT (2017) Intellectual analysis of fuzzy solutions to incorrect problems. Palmarium Academic Publishing, AV Akademikerverlag GmbH & Co.KG Heinrich-Böcking, Saarbrucken, pp 6–8, 327 p 66121
Muxamediyeva DT (2018) Int J Mech Prod Eng Res Dev 8(2), 527–538pp, issn (P): 2249-6890; issn (E): 2249-800, Impact Factor (JCC): 6.8765. USA
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Bekmuratov, T., Mukhamedieva, D. (2020). Qualitative Evaluation of Fertility Land Under Fuzzy Information. In: Pawar, P., Ronge, B., Balasubramaniam, R., Vibhute, A., Apte, S. (eds) Techno-Societal 2018 . Springer, Cham. https://doi.org/10.1007/978-3-030-16962-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-16962-6_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16961-9
Online ISBN: 978-3-030-16962-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)