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Open Access Research Article

Solving the fuzzy 1-center problem with an innovative ranking method for fuzzy numbers

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pp. 19–35Vol. 29Issue 1January 2026DOI: 10.47974/JIM-2129XML
Received:
09 Jul 2024
Published Online:
24 Nov 2025
Article type:
Research Article
Language:
EN
Article no.:
JIM-2129
Pages:
19–35

Abstract

For modeling real-world problems in mathematical form, we encounter uncertain and ambiguous quantities. In such situations, the efficient fuzzy set (FS) theory is employed to model these uncertain and ambiguous quantities in the form of fuzzy numbers (FNs). Since comparing FNs is essential in most optimization problems, we are compelled to utilize a suitable ranking method (RM). In this paper, the limitations of the RMs discussed in the literature are addressed, and a new revised approach for ranking various types of FNs is introduced. Additionally, it has been demonstrated that this innovative RM consistently ensures alignment among the rankings of fuzzy quantities and their associated representations. To illustrate the usages, advantages, and efficiency of the proposed method for ranking fuzzy numbers (RFN), we will present several examples, and several comparative examples are provided. Finally, in order to demonstrate the usage and applicability of our recommended RM, a practical application called the fuzzy 1-center problem is solved.

Keywords

Subject Classifications

03B5268U9990C70

References

[1] F. Khalili Goodarzi, N. A. Taghinezhad, and S. H. Nasseri, “A new fuzzy approach to solve a novel model of open shop scheduling problem,” University Politehnica of Bucharest Scientific Bulletin-Series A-Applied Mathematics and Physics, vol. 76, no. 3, pp. 199-210 (2014).
[2] S. H. Nasseri, E. Behmanesh, F. Taleshian, M. Abdolalipoor, and N. A. Taghi-Nezhad, “Fully fuzzy linear programming with inequality constraints,” International Journal of Industrial Mathematics, vol. 5, no. 4, pp. 309-316 (2013).
[3] M. Ghaznavi, F. Soleimani, and N. Hoseinpoor, “Parametric analysis in fuzzy number linear programming problems,” International Journal of Fuzzy Systems, vol. 18, no. 3, pp. 463-477 (2016).
[4] M. N. Skandari and M. Ghaznavi, “An Efficient Algorithm for Solving Fuzzy Linear Programming Problems,” Neural Processing Letters, vol. 2018, pp. 1-20.
[5] R. S. Mahmood, M. N. Al-Harere, and I. H. Hussein, “Developing the pentagonal membership function to estimate the fuzzy parameters of the exponential rayleigh model.”
[6] A. M. Nejad and M. Mashinchi, “Ranking fuzzy numbers based on the areas on the left and right sides of fuzzy number,” Computers & Mathematics with Applications, vol. 61, no. 2, pp. 431–442 (2011).
[7] R. Jain, “Decision-making in the presence of fuzzy variable,” IEEE Transactions on Systems Man, and Cybrenetics, vol. 6, pp. 698–703 (1976).
[8] S. H. Nasseri, N. A. Taghi-Nezhad, and A. Ebrahimnejad, “ A novel method for ranking fuzzy quantities using center of incircle and its application to a petroleum distribution center evaluation problem,” International Journal of Industrial and System (2017).
[9] S. H. Nasseri, N. Taghi-Nezhad, and A. Ebrahimnejad, “A Note on Ranking Fuzzy Numbers with an Area Method using Circumcenter of Centroids,” Fuzzy Information and Engineering, vol. 2, no. 9, pp. 259-268 (2017).
[10] F. Taleshian, J. Fathali, and N. A. Taghi-Nezhad, “Fuzzy majority algorithms for the 1-median and 2-median problems on a fuzzy tree,” Fuzzy Information and Engineering, vol. In Press (2018).
[11] S. H. Nasseri, N. A. Taghi-Nezhad, and A. Ebrahimnejad, “A novel method for ranking fuzzy quantities using center of incircle and its application to a petroleum distribution center evaluation problem,” International Journal of Industrial and Systems Engineering, vol. 27, no. 4, pp. 457 - 484 (2017a).
[12] I. H. Hussein and Z. saad Abood, “Solving Fuzzy Games Problems by Using Ranking Functions,” Baghdad Science Journal, vol. 15, no. 1 (2018).
[13] S. M. Ingle and K. P. Ghadle, “Solving FFLPP Problem with Hexagonal Fuzzy Numbers by New Ranking Method,” IJAER, vol. 14, no. 1, pp. 97-101 (2019).
[14] P. Dutta, “A straightforward advanced ranking approach of fuzzy numbers,” in Smart intelligent computing and applications: Springer, pp. 475-483 (2020).
[15] R. Saneifard and R. Saneifard, “Defuzzification Method for Solving‎ Fuzzy‎ Linear Programming Problems,” International Journal of Industrial Mathematics, vol. 12, no. 1, pp. 13-21 (2020).
[16] J. Dombi and T. Jónás, “Ranking trapezoidal fuzzy numbers using a parametric relation pair,” Fuzzy Sets and Systems, vol. 399, pp. 20-43 (2020).
[17] A. Pourabdollah, “Fuzzy Number Value or Defuzzified Value; Which One Does It Better?,” in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, pp. 1-6 (2020). 
[18] M. Sam’an and Y. Dasril, “The novel approach for ranking generalized interval type-2 trapezoidal fuzzy numbers based on integral value,” Journal of Interdisciplinary Mathematics, vol. 25, no. 6, pp. 1697-1711 (2022).
[19] F. Salas-Molina, J. Reig-Mullor, D. Pla-Santamaria, and A. Garcia-Bernabeu, “On the Conditions for Total Orderings in Lexicographic Methods to Rank Fuzzy Numbers,” International Journal of Fuzzy Systems, pp. 1-11 (2024).
[20] P. Dutta, B. Saikia, and G. Borah, “A novel approach for arithmetic operations and ranking of generalized fuzzy numbers with application,” Decision Analytics Journal, vol. 10, p. 100428 (2024).
[21] T. Chu and C. Tsao, “Ranking fuzzy numbers with an area between the centroid point and original points,” Computers and Mathematics with Application, vol. 43, pp. 111–117 (2002).
[22] S. Abbasbandy and B. Asady, “Ranking of fuzzy numbers by sign distance,” Information Sciences, vol. 176, pp. 2405–2416 (2006).
[23] B. Asady and A. Zendehnam, “Ranking fuzzy numbers by distance minimizing,” Applied Mathematical Modeling, vol. 31, pp. 2589–2598 (2007).
[24] S. Abbasbandy and T. Hajjari, “A new approach for ranking of trapezoidal fuzzy numbers,” Computers and Mathematics with Applications, vol. 57, pp. 413-419 (2009).
[25] R. Ezzati, T. Allahviranloo, S. Khezerloo, and M. Khezerloo, “An approach for ranking of fuzzy numbers,” Expert Systems with Applications, vol. 39, pp. 690-695 (2012).
[26] R. Ezzati, S. Khezerloo, and S. Ziari, “Application of parametric from for ranking of fuzzy numbers,” Iranian Journal of Fuzzy Systems, vol. 12, no. 1, pp. 59-74 (2015).
[27] D. Dubois and H. Prade, “Towards fuzzy differential calculus. Part 3: Differentiation,” Fuzzy Sets and Systems, vol. 8, pp. 225–233 (1982).
[28] S. G. Gal, “Approximation theory in fuzzy setting.,” in Handbook of Analytic-Computational Methods in Applied Mathematics. Chapman Hall: CRC Press, pp. 617–666 (2000).
[29] R. Goetschel and W. Voxman, “Elementary calculus,” Fuzzy Sets and Systems, vol. 18, pp. 31–43 (1986).
[30] M. Ma, M. Friedman, and A. Kandal, “A new fuzzy arithmetic,” Fuzzy Sets and Systems, vol. 108, pp. 83–90 (1999).
[31] A. Kaufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Application. (2th ed.). New York: Van Nostrand Reinhold (1991).
[32] M. S. Daskin, Network and Discrete Location: Models, Algorithms, and Applications. John Wiley & Sons (2011).
[33] N. A. Taghi-Nezhad, “Proposing a new fuzzy ranking method (A Case study on multiproduct oil distribution),” University of Mazandaran, Babolsar (2015). 
[34] X. Wang and E. E. Kerre, “Reasonable properties for the ordering of fuzzy quantities (II),” Fuzzy Sets and Systems, vol. 118, pp. 387–405, (2001b).
[35] X. Wang and E. E. Kerre, “Reasonable properties for the ordering of fuzzy quantities (I),” Fuzzy Sets and Systems, vol. 118, pp. 375–385 (2001a).

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