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International Journal of Neutrosophic Science
Volume 23 , Issue 4, PP: 224-237 , 2024 | Cite this article as | XML | Html |PDF

Title

A New Approach to Solve Transportation Problems Under Neutrosophic Environment

  Vidhya 1 ,   Uma Maheswari 2 * ,   Ganesan K. 3

1  Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India
    (vidhyav@srmist.edu.in)

2  Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India
    (umamahep@srmist.edu.in)

3  Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India
    (ganesank@srmist.edu.in)


Doi   :   https://doi.org/10.54216/IJNS.230417

Received: June 16, 2023 Revised: January 18, 2024 Accepted: March 09, 2024

Abstract :

The transportation problem has received a lot of attention in the field of operations research. In many circumstances, transportation planners may lack clear information on supply, demand, and transportation costs. Fuzzy sets can accept incomplete information by allowing for degrees of membership, which describe the level of certainty or uncertainty associated with each parameter. Three components—truth-membership, indeterminacy-membership, and falsity-membership degrees—are added to fuzzy numbers to create neutrosophic fuzzy numbers, which enables a more complex depiction of uncertainty. In this paper, we discuss the fuzzy transportation problem in a neutrosophic environment. Here the transportation costs, demands, and supplies are represented by neutrosophic trapezoidal fuzzy numbers. The neutrosophic trapezoidal fuzzy numbers are transformed into crisp numbers by using a ranking function and providing numerical examples to show the proposed method's efficiency to get the minimum optimal cost. Finally, we have demonstrated that our proposed method produced a better optimal solution to existing approaches by comparing its results to those of the existing ones.

Keywords :

Transportation problem; Neutrosophic transportation problems; Neutrosophic trapezoidal numbers; Arithmetic operation; Comparison tables.

References :

[1]     Akash Singh, Amrit Das, Uttam Kumar Bera and Gyu M. Lee, “Prediction of transportation costs using trapezoidal neutrosophic fuzzy analytic hierarchy process and artificial neural networks”, IEEE access, vol. 9,2021-pp: 103497-103512.

[2]     Akanksha Singh, Amit Kumar and S. S. Appadoo, “Modified approach for optimization of real life transportation problem in neutrosophic environment”, Mathematical problems in engineering, 2017-pp: 1-9.

[3]     Ashok Kumar, Ritika Chopra and Ratnesh Rajan Saxena, “An efficient enumeration technique for a transportation problem in neutrosophic environment”, Neutrosophic sets and systems, vol. 47,2021-pp: 353-365.

[4]     Ashok Kumar, Ritika Chopra and   Ratnesh Rajan Saxena, “An efficient algorithm to solve transshipment problem in uncertain environment”, Int. J. Fuzzy syst, , vol.22(8),2020-pp: 2613-2624.

[5]     A. Ebrahimnejad and J. L. Verdegay, “A new approach for solving fully intuitionistic fuzzy transportation problems,” Fuzzy Optim. Decis. Mak., vol.17, pp: 447–474, 2018.

[6]     A. Nagoor Gani and S. Abbas, “Solving intuitionistic fuzzy transportation problem using zero suffix algorithm,” International Journal of Mathematical Sciences & Engineering Applications, vol. 6,2012-pp: 73–82.

[7]     A. N. Gani and K. A. Razak, “Two stage fuzzy transportation problem,” Journal of Physical Sciences, vol. 10,2006-pp: 63–69.

[8]     A. Kaur and A. Kumar, “A new approach for solving fuzzy transportation problems using generalized trapezoidal fuzzy numbers,” Applied Soft Computing, vol. 12,2012-pp. 1201–121.

[9]     Binoy Krishna Giri and Sankar Kumar Roy, “Neutrosophic multi-objective green four-dimensional fixed-charge transportation problem”, International journal of machine learning and cybernetics vol.13,2022-pp:3089–3112.

[10]   C.H. Cheng, “A new approach for ranking fuzzy numbers by distance method”, Fuzzy Sets and Systems 95,1998-pp: 307–317.

[11]   Deli and Y. Subaş, “A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems”, Int. J. Mach. Learn. & cyber, vol.8,2017-pp:1309–1322.

[12]   D.S. Dinagar, K. Palanivel, “The transportation problem in fuzzy environment”, International Journal of Algorithms, Computing and Mathematics 2,2009-pp: 65–71.

[13]   Frank L. Hitchcock, “The distribution of a product from several sources to numerous localities”, Distribution of a product, pp:224-230.

[14]   F. Smarandache, “Neutrosophic set: a generalization of the intuitionistic fuzzy set” Int. J. Pure Appl. Math., vol. 24,2005-pp: 287–297.

[15]   Hadi Basirzadeh, “An approach for solving fuzzy transportation problem”, Applied mathematical sciences, vol. 5(32), 2011- pp: 1549 – 1566.

[16]   Haibin Wang, Florentin Smarandache, Yanqing Zhang and Rajshekhar Sunderraman, “Single valued neutrosophic sets”, University of new mexico.

[17]   H.J. Zimmermann, “Fuzzy programming and linear programming with several objective functions”, Fuzzy sets and systems, vol. 1, 1978 – pp:45-55.

[18]   H.-Y. Zhang, J.-Q. Wang, and X.-H. Chen, “Interval neutrosophic sets and their application in multicriteria decision making problems,” The Scientific World Journal, vol. 2014, Article ID 645953,2014-pp: 15.

[19]   J.L. Verdegay, “Applications of fuzzy optimization in operational research”, Control and Cybernetics 13/3, 1984-pp: 229-239.

[20]   Krassimir T. Atanassov, “Intutionistic fuzzy sets”, Fuzzy sets and systems, vol.20,1986-pp:87-96.

[21]   Krishna Prabha Sikkannan and Vimala Shanmugavel, “Unraveling neutrosophic transportation problem using costs mean and complete contingency cost table” , vol.29,2019-pp:166-173.

[22]   L. A. Zadeh, “Fuzzy set and systems”, Information and control, vol.8, 1965-pp:338—353.

[23]   L.A. Zadeh, “Decision-making in a fuzzy environment”, Management science, vol.17(4),1970-pp: b-141-b-163.

[24]   L.M. Campos Ibanes, A. Gonzalez Munoz, “A subjective approach for ranking fuzzy number”, Fuzzy Sets and Systems 29,1989-pp: 145–153.

[25]   Malayalan Lathamaheswari, “The shortest path problem in interval valued trapezoidal and triangular neutrosophic environment”, Complex & intelligent systems, vol.5,2019-pp:391-402

[26]   Malihe Niksirat , “Intuitionistic fuzzy hub location problems: model and solution approach”, Fuzzy information and engineering, vol.14(1),2022-pp:74-83.

[27]   Muhammad Gulzar, M. Haris Mateen, dilshad alghazzawi and nasreen kausar, “A novel applications of complex intuitionistic fuzzy sets in group theory”, IEEE acess, pp:196075-196085.

[28]   M. Malik and S. K. Gupta, “Goal programming technique for solving fully interval valued intuitionistic fuzzy multiple objective transportation problems,” Soft Computing, vol.24,2020-pp: 13955–13977.

[29]   Rajesh Kumar, Saini atul Sangal and Ashik Ahirwar, “A novel approach by using interval-valued trapezoidal neutrosophic numbers in transportation problem”, Neutrosophic sets and systems, vol. 51,2022-pp: 233 – 253

[30]   Rajesh Kumar Saini, Atul Sangal and Manisha Manisha, “Application of single valued trapezoidal neutrosophic numbers in transportation problem”, Neutrosophic sets and systems, vol. 35,2020-pp: 563 – 583.

[31]   R. J. Hussain and P. Senthil Kumar, “Algorithmic approach for solving intuitionistic fuzzy transportation problem,” Applied Mathematical Sciences, vol. 6, no. 80, 2012-pp: 3981–3989.

[32]   Sapan kumar das and Avishek Chakraborty, “A new approach to evaluate linear programming problem in pentagonal neutrosophic environment”, complex & intelligent systems, vol.7, 2021-pp:101–110.

[33]   S. Dhanasekar, J. Jansi rani, and manivannan annamalai, “Transportation problem for interval-valued trapezoidal intuitionistic fuzzy numbers”, International journal of fuzzy logic and intelligent systems, vol.22(2),2022-pp:155-168.

[34]   S. Dhouib, “A novel heuristic for the transportation problem dhouib-matrix-TP1,” International Journal of Recent Engineering Science, vol. 8, no. 4,2021-pp: 1–5.

[35]   S. K. Das and A. Chakraborty, “A new approach to evaluate linear programming problem in pentagonal neutrosophic environment,” Complex Intell. Syst., vol.7,2021-pp: 101–110.

[36]   Thamaraiselvi and R. Santhi, “A new approach for optimization of real-life transportation problem in neutrosophic environment”, Mathematical problems in engineering, 2016-pp: 1-9.

[37]   S. K. Singh and S. P. Yadav, “A new approach for solving intuitionistic fuzzy transportation problem of type-2,” Ann. Oper. Res., vol.243,2016-pp: 349–363.

[38]   Broumi, S., Nagarajan, D., and Bakali. A., "The shortest path problem in the interval-valued trapezoidal and triangular neutrosophic environment”, Complex Intell. Syst. Vol.5, pp. 391–402.2019.

[39]   Broumi, S., Raut, P. K., & Behera, S. P. (2023). Solving shortest path problems using an ant colony algorithm with triangular neutrosophic arc weights. International Journal of Neutrosophic Science, 20(4), 128-28.


Cite this Article as :
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MLA Vidhya , Uma Maheswari , Ganesan K.. "A New Approach to Solve Transportation Problems Under Neutrosophic Environment." International Journal of Neutrosophic Science, Vol. 23, No. 4, 2024 ,PP. 224-237 (Doi   :  https://doi.org/10.54216/IJNS.230417)
APA Vidhya , Uma Maheswari , Ganesan K.. (2024). A New Approach to Solve Transportation Problems Under Neutrosophic Environment. Journal of International Journal of Neutrosophic Science, 23 ( 4 ), 224-237 (Doi   :  https://doi.org/10.54216/IJNS.230417)
Chicago Vidhya , Uma Maheswari , Ganesan K.. "A New Approach to Solve Transportation Problems Under Neutrosophic Environment." Journal of International Journal of Neutrosophic Science, 23 no. 4 (2024): 224-237 (Doi   :  https://doi.org/10.54216/IJNS.230417)
Harvard Vidhya , Uma Maheswari , Ganesan K.. (2024). A New Approach to Solve Transportation Problems Under Neutrosophic Environment. Journal of International Journal of Neutrosophic Science, 23 ( 4 ), 224-237 (Doi   :  https://doi.org/10.54216/IJNS.230417)
Vancouver Vidhya , Uma Maheswari , Ganesan K.. A New Approach to Solve Transportation Problems Under Neutrosophic Environment. Journal of International Journal of Neutrosophic Science, (2024); 23 ( 4 ): 224-237 (Doi   :  https://doi.org/10.54216/IJNS.230417)
IEEE Vidhya, Uma Maheswari, Ganesan K., A New Approach to Solve Transportation Problems Under Neutrosophic Environment, Journal of International Journal of Neutrosophic Science, Vol. 23 , No. 4 , (2024) : 224-237 (Doi   :  https://doi.org/10.54216/IJNS.230417)