1 Affiliation : Docente de la Carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES)
Email : firstname.lastname@example.org
2 Affiliation : Docente de la Carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES)
Email : email@example.com
3 Affiliation : Docente de la Carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES)
Email : firstname.lastname@example.org
Potential mechanisms for dealing with water resources are provided by water resource management (WRM). To determine agricultural water resources, a new multi-criteria water resource management approach was created in this work. The management of agricultural water resources has become a major issue in the current circumstances. To create this circumstance, a multi-criteria approach is required. We were able to address a real-world water resource management issue using the suggested multi-criteria decision-making technique. The neutrosophic TOPSIS environment has been taken into account in this decision-making dilemma. Summertime water demand is high, and towards the end of summer, when monsoon season arrives, water demand is low in the agricultural field. During the monsoon season, it is not uncommon for rain to fall just in parts. In agriculture, growing crops during the monsoon season was difficult at the time. As a result, the nature of the water shortage in this area is non-linear and unclear. Because of this, we suggested an MCDM technique for WRM issues in a neutrosophic TOPSIS -environment context.
Neutrosophic algebra; TOPSIS; Near-Subtraction; Semigroups;
 B. Das, S. C. Pal, S. Malik, and R. Chakrabortty, “Modeling groundwater potential zones of Puruliya
district, West Bengal, India using remote sensing and GIS techniques,” Geology, Ecology, and
Landscapes, vol. 3, no. 3, pp. 223–237, 2019.
 A. Tecle, Choice of multicriterion decision-making techniques for watershed management. The
University of Arizona, 1988.
 I. A. STĂNESCU and F. G. FILIP, “ENVIRONMENTAL MULTI-ATTRIBUTE DECISIONMAKING:
ACCESS TO WATER RESOURCES IN ARID REGIONS OF ROMANIA.”
 Z. A. Mimi and M. D. Smith, “Selection of water resources management options,” 1999.
 B. Yilmaz and N. Harmancioglu, “Multi-criteria decision making for water resource management: a case
study of the Gediz River Basin, Turkey,” Water SA, vol. 36, no. 5, 2010.
 M. Zarghaami, R. Ardakanian, and A. Memariani, “Fuzzy multiple attribute decision making on water
resources projects case study: Ranking water transfers to Zayanderud basin in Iran,” Water International,
vol. 32, no. 2, pp. 280–293, 2007.
 M. J. Bender and S. P. Simonovic, “A fuzzy compromise approach to water resource systems planning
under uncertainty,” Fuzzy sets and Systems, vol. 115, no. 1, pp. 35–44, 2000.
 S. Hajkowicz and K. Collins, “A review of multiple criteria analysis for water resource planning and
management,” Water resources management, vol. 21, no. 9, pp. 1553–1566, 2007.
 K. Bauri, P. Gorai, and B. K. Modak, “Indigenous knowledge and practices on water conservation and
management in purulia district, west bengal,” J. Environ. & Sociobiol, vol. 17, no. 1, pp. 89–98, 2020.
 A. Alamanos, N. Mylopoulos, A. Loukas, and D. Gaitanaros, “An integrated multicriteria analysis tool
for evaluating water resource management strategies,” Water, vol. 10, no. 12, p. 1795, 2018.
 A. Alamanos, S. Xenarios, N. Mylopoulos, and P. Stalnacke, “Integrated water resources management in
agro-economy using linear programming: The case of lake Karla basin, Greece,” in 10th World Congress
of EWRA, 2017, pp. 5–9.
 L. A. Zadeh, “Fuzzy sets,” in Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A
Zadeh, World Scientific, 1996, pp. 394–432.
 F. Smarandache, “Neutrosophy: neutrosophic probability, set, and logic: analytic synthesis & synthetic
 H. Wang, F. Smarandache, Y. Zhang, and R. Sunderraman, Single valued neutrosophic sets. Infinite
 W.-R. Zhang, “Bipolar fuzzy sets and relations: a computational framework for cognitive modeling and
multiagent decision analysis,” in NAFIPS/IFIS/NASA’94. Proceedings of the First International Joint
Conference of The North American Fuzzy Information Processing Society Biannual Conference. The
Industrial Fuzzy Control and Intellige, 1994, pp. 305–309.
 R. Ghanbari, K. Ghorbani-Moghadam, and N. Mahdavi-Amiri, “A direct method to compare bipolar LR
fuzzy numbers,” Advances in Fuzzy Systems, vol. 2018, 2018.
 M. Sarwar and M. Akram, “Certain algorithms for computing strength of competition in bipolar fuzzy
graphs,” International journal of uncertainty, fuzziness and knowledge-based systems, vol. 25, no. 06,
pp. 877–896, 2017.
 M. Sarwar and M. Akram, “Novel concepts of bipolar fuzzy competition graphs,” Journal of Applied
Mathematics and Computing, vol. 54, no. 1, pp. 511–547, 2017.
 I. Deli, M. Ali, and F. Smarandache, “Bipolar neutrosophic sets and their application based on multicriteria
decision making problems,” in 2015 International conference on advanced mechatronic systems
(ICAMechS), 2015, pp. 249–254.
 A. Chakraborty et al., “Disjunctive representation of triangular bipolar neutrosophic numbers, debipolarization
technique and application in multi-criteria decision-making problems,” Symmetry, vol. 11,
no. 7, p. 932, 2019.
 V. Mahalakshmi, S. Maharasi, and S. Jayalakshmi, “Bi-ideals of near subtraction semigroup,” Indian
Advances in Algebra, vol. 6, no. 1, pp. 35–48, 2013.
 J. SIVARANJINI and V. MAHALAKSHMI, “Neutrosophic Fuzzy bi-ideals of Near-Subtraction
Semigroups.” Spinger Publications., Fater India Publications, Volume6 (i), 2021.
 A. Solairaju and S. Thiruveni, Neutrosophic Fuzzy Ideals of Near-Rings. Infinite Study, 2018.
 R. SUMITHA, P. A. SELVI, and S. JAYALAKSHMI, “Intuitionstic fuzzy Strong bi-ideals in nearsubtraction
semigroups.” JETIR, 2019.