An An Approach Using Border Approximation Area in Bipolar Neutrosophic Settings for Optimal Alternative of Agricultural Sustainability
DOI:
https://doi.org/10.53799/dvf8ny08Keywords:
Border approximation, Bipolarity, Decision making, Neutrosophic Sets, Weight coefficientAbstract
Earlier studies indicate that the Multi-Attributive Border Approximation Area Comparison (MABAC) method is among the most reliable techniques for ranking alternatives. This method has been combined with various fuzzy set-based decision-making methods. However, the combination of MABAC with the four tuple-memberships of bipolar neutrosophic sets has yet to be explored. This paper proposes the Bipolar Neutrosophic Multi-Attributive Border Approximation Area Comparison (BiN-MABAC) method and applies it to the case of sustainable agriculture practices. Linguistic data was collected from five experts in the agricultural field to evaluate the performance of seven alternatives based on ten criteria. The computational implementation of BiN-MABAC indicates that the alternative agroforestry (A4) is the optimal solution for agricultural sustainability. This study represents the first identifiable application of the BiN-MABAC decision-making approach to agricultural sustainability.
References
[1] D. Pamučar, and G. Ćirović. “The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation Area Comparison (MABAC)’. Expert Syst. Appl. vol. 42, no. 6, pp. 3016-3028. 2015.
[2] D. Pamučar, I.Petrović, and G. Ćirović, “Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers” Expert Syst. Appl. 2018; vol.91, pp. 89-106. 2018.
[3] P. Wang, J. Wang, G. Wei, C. Wei, and Y. Wei, “The multi-attributive border approximation area comparison (MABAC) for multiple attribute group decision making under 2-tuple linguistic neutrosophic environment”, Informatica, vol. 30, no. 4, pp. 799-818. 2019.
[4] W. Liang, G. Zhao, H. Wu and B. Dai, “Risk assessment of rock burst via an extended MABAC method under fuzzy environment”. Tunn. Undergr. Space Tech.. vol.283, pp. 533-544. 2019.
[5] J. Wang, G. Wei, C. Wei, and Y. Wei, “MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment.” Def Tech. 2020; vol. 16, no. 1, pp. 208-216. 2020.
[6] S. Chakraborty, S. Ghosh, B. Sarker and S. Chakraborty, “An integrated performance evaluation approach for the Indian international airports”, J. Air Transp Manag. vol.88, pp. 101876. 2020.
[7] J. Rezaei, “Best-worst multi-criteria decision-making method: Some properties and a linear model” Omega. vol. 4, pp. 126–130. 2016.
[8] A. Puška, A. Štilić M. Nedeljković M, Božanić D, S. Biswas,” Integrating fuzzy rough sets with LMAW and MABAC for green supplier selection in agribusiness”, Axioms. Vol. 12, no.8, pp. 746. 2023.
[9] D. Liu, L. Qiao, C. Liu, B. Liu, and S. Liu, “Evaluation of Urban Quality Improvement Based on the MABAC Method and VIKOR Method: A Case Study of Shandong Province, China.” Sustainability, vol.16, no.8, pp. 3308. 2024.
[10] L. Abdullah, and S.N. Rahim, “Bipolar neutrosophic DEMATEL for urban sustainable development”, J. Intell. Fuzzy Syst. vol. 39, no. 5, pp. 6109-6119. 2020.
[11] N. Rahim, L. Abdullah, and B. Yusoff. “A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection”. Sustainability, 12(10):3971. 2020.
[12] J. Pretty, “Agricultural sustainability: concepts, principles and evidence”. Philos Trans R Soc Lond B Biol Sci. vol. 363, no. 1491, pp. 447-465. 2008.
[13] I. Deli, M. Ali, and F. Smarandache, “Bipolar neutrosophic sets and their application based on multi-criteria decision-making problems”. In 2015 International Conference on Advanced Mechatronic Systems (ICAMechS) 2015; pp.249-254. DOI: 10.1109/ICAMechS.2015.7287068.
[14] Q.M. Koyee, R.A. Khailany, M.L.Rahman and L.N. Nassraldin “Histopathologic Changes and Molecular Characterization of Fascioliasis (a Zoonotic Disease) among Slaughtered Livestock in Erbil and Halabja Abattoirs, Kurdistan Region-Iraq”. Baghdad Sci. J., vol.21, no. 7, pp. 2191-.2209, 2024.
[15] T. Plieninger, J., Muñoz‐Rojas, L. E.Buck, & S. J. Scherr, “Agroforestry for sustainable landscape management”. Sust Sci, 15(5), pp. 1255–1266 (2020).
[16] S. Singh, G. Singh, G. “Agroforestry for sustainable development: Assessing frameworks to drive agricultural sector growth”. Environ Dev Sustain 26(9), pp. 22281-22317. . (2024).
[17] J.C. Alcantud, “Multi-attribute group decision-making based on intuitionistic fuzzy aggregation operators defined by weighted geometric means”. Granul. Comput. vol. 8, no. 6, pp. 1857-1866. 2023.
[18] M. Jalasri, S. Manikandan, A.D. Nicholas, S. Gobimohan, N.S. Rao. “Hybrid optimized data aggregation for fog computing devices in internet of things”. Baghdad Sci. J. vol. 21, no. 5 (SI)), pp. 1811-. 2024.
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