Fuzzy based multi-criteria method for sustainable green chamber farming practices

RAM KARAN SINGH; JAVED MALLICK

doi:10.56093/ijas.v89i10.94640

Authors

RAM KARAN SINGH Associate Professor, King Khalid University, Abha, 61411, Kingdom of Saudi Arabia
JAVED MALLICK Associate Professor, King Khalid University, Abha, 61411, Kingdom of Saudi Arabia

https://doi.org/10.56093/ijas.v89i10.94640

Keywords:

Crop ranking, Fuzzy-TOPSIS, Sustainable farming, Vegetable cash crop

Abstract

Ranking of vegetable cash crop is an important factor in the sustainable green chamber farming practices. In sustainable farming, a careful strategy based on the multi-criteria decision making is required. The present research stresses the cash crop ranking in the Saudi Arabia and takes into account wide standards linked with sustainable green chamber vegetable cash crop harvest. Considering the specialists' opinion and wide-ranging review of the literature, important criteria connected to sustainable green chamber agricultural practices apply for cash crops harvest. The twelve important criteria were chosen based on environmental conditions, social, economicand nutrient of soil for ranking the vegetable cash crops in the green chamber system modelled to attain the sustainability for the vegetable cash crop production. A mathematical model has been developed keeping in account the fuzzy-based multi-criteria method (FMCM). The model will also help the different stakeholder involved in the green chamber harvesting system and ministry of agriculture to develop the policies related to sustainable green harvesting practices and also improve the self-sufficiency of the farming sector subsequently improve the national gross domestic product.

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References

Belton V and Stewart T. 2002. Multiple Criteria Decision Analysis: An Integrated Approach. Kluwer Academic Publishers, Boston. DOI: https://doi.org/10.1007/978-1-4615-1495-4

FAOSTAT. 2006. FAO Statistical databases. http://faostat.fao.org

Gupta A P, Harboe R and Tabucanon M T. 2000. Fuzzy multiple-criteria decision making for crop area planning in Narmada river basin. Agricultural Systems 63(1): 1–18. DOI: https://doi.org/10.1016/S0308-521X(99)00067-0

Ministry of Agriculture and Water. Agriculture Statistical Year Book. 13. 2001, Saudi Arabia.

Nambiar K M, Gupta A P, Fu Q and Li S. 2001. Biophysical, chemical and socio-economic indicators for assessing agricultural sustainability in the Chinese coastal zone. Agriculture, Ecosystems and Environment 87(2): 209–214. DOI: https://doi.org/10.1016/S0167-8809(01)00279-1

Rezaei-Moghaddam K and Karami E. 2008. A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment, Development and Sustainability 10(4): 407–26. DOI: https://doi.org/10.1007/s10668-006-9072-1

Roy B. 1999. Decision-aiding today. pp 1.1-1.35. Multicriteria decision making: Advances in MCDM models, algorithms, theory, and applications. (Eds), Gal T, Stewart T J, Hanne T. Kluwer Academic Press, Boston.

Sydorovych O and Wossink A. 2008. The meaning of agricultural sustainability: evidence from a conjoint choice survey. Agricultural Systems 98(1): 10–20. DOI: https://doi.org/10.1016/j.agsy.2008.03.001

Wang M Jand Chang T C. 1995. Tool steel materials selection under fuzzy environment. Fuzzy Sets and Systems 72(3): 263–70. DOI: https://doi.org/10.1016/0165-0114(94)00289-J

Zadeh L A. 1970. Decision-making in a fuzzy Environment. Management Science 17(4): 141–6. DOI: https://doi.org/10.1287/mnsc.17.4.B141

Zhao R and Govind R. 1991. Algebraic characteristics of extended fuzzy numbers. Information Science 54(1-2): 103–30. DOI: https://doi.org/10.1016/0020-0255(91)90047-X