Comparing Delphi–fuzzy AHP and fuzzy logic membership in soil fertility assessment: a study of an active Ganga Delta in Sundarban Biosphere Reserve, India-Reference-Cited by-同舟云学术

Comparing Delphi–fuzzy AHP and fuzzy logic membership in soil fertility assessment: a study of an active Ganga Delta in Sundarban Biosphere Reserve, India

Published:2022-07-29 Issue: Volume: Page:
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Mallick Kunal^ORCID,Sahana Mehebub^ORCID,Chatterjee Soumendu

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-21983-4.pdf

Reference93 articles.

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2. Aarthi R, Sivakumar D (2022) Dynamic Tuning of Fuzzy Membership function for an application of soil nutrient recommendation. In: Roy S, Sinwar D, Perumal T, Slowik A, Tavares JMRS (eds) Innovations in Computational Intelligence and Computer Vision . Advances in Intelligent Systems and Computing, 1424th edn. Springer, Singapore. https://doi.org/10.1007/978-981-19-0475-2_10

3. Abdel Rahman MA, Hegab RH, Yossif TM (2021) Soil fertility assessment for optimal agricultural use using remote sensing and GIS technologies. Appl Geomatics 13(4):605–618

4. Adeoye GO, Agboola AA (1984) Relationship between soil physical and chemical characteristics and ear-leaf concentration of P, K, Mg, Zn, Fe, Mn and relative yield of maize in soils derived from sedimentary rocks of southwest Nigeria. Fert Res 5(1):109–119. https://doi.org/10.1007/BF01049495

5. Akbari M, Neamatollahi E, Neamatollahi P (2019) Evaluating land suitability for spatial planning in arid regions of eastern Iran using fuzzy logic and multi-criteria analysis. Ecol Indic 98:587–598. https://doi.org/10.1016/j.ecolind.2018.11.035

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