An α-Cut-Based Ranking Index for Normal Trapezoidal Fuzzy Numbers

Authors

  • Suleiman Datti Baze University Abuja

DOI:

https://doi.org/10.33003/fjs-2026-1021-6263

Keywords:

Fuzzy Set, Fuzzy Number, Normal Trapezoidal Fuzzy Number, Α-Cut, Ranking Index

Abstract

This paper proposes a simplified ranking approach for normal trapezoidal fuzzy numbers using an integrated  ranking index ( ). The fundamental arithmetic operations for  are reviewed to compute the proposed index. The ranking performance is evaluated across seven sets of fuzzy numbers, comparing the results against nine established existing methods. Comparative analysis demonstrates that the proposed approach is straightforward to apply, effectively better, and yields high consistency with existing literature while significantly reducing computational complexity.

References

Abbasbandy, S., & Asady, B. (2006). Ranking fuzzy numbers by sign distance. Information Sciences, 176, 2405–2416.

Abbasbandy, S., & Hajjari, T. (2009). A new approach for ranking trapezoidal fuzzy numbers. Computers and Mathematics with Applications, 57(3), 413–419.

Asady, B. (2010). Revised method of ranking LR fuzzy numbers based on deviation degree. Expert Systems with Applications, 37(7), 5056–5060.

Babu Suresh, S. Y.L.P. Thorani & N. Ravi Shankar., Method of Rankin generalized fuzzy numbers using centroid of centroids, International Journal of Fuzzy Logic Systems, 2(3)( 2012).1-19.

Basirzadeh, H., & Abbasi, R. (2008). A new approach for ranking fuzzy numbers based on alpha cuts. Journal of Applied Mathematics and Informatics, 26(3–4), 767–778.

Bortolan,G. & Degani, R., A review of some methods of raking fuzzy subsets, Fuzzy sets

and systems, 15(1)(1985) 1-19.

Campos, L. & Gonzaleza, A., A subjective approach for ranking fuzzy numbers, fuzzy

sets and systems, 29(2)(1989) 145-153.

Chen, S., & Chen, J. (2009). Fuzzy risk analysis based on ranking fuzzy numbers using different height and different spreads. Expert Systems with Applications, 36(3), 6833–6842.

Chen, S., & Chen, S. (2007). Fuzzy risk analysis based on ranking of generalized trapezoidal fuzzy numbers. Applied Intelligence, 26(1), 1–11.

Cheng, C. (1998). A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets and Systems, 95(3), 307–317.

Chen, C.C. &Tang, H.C., Ranking non-normal p-norm trapezoidal fuzzy numbers with

integral values, Computers and Mathematics with Applications, 56(9)(2008)2340-2346.

Chu, T., & Tsao, C. (2002). Ranking fuzzy numbers using centroid area. Computers and Mathematics with Applications, 43(1–2), 111–117.

Datti, A.S., Mukhtar, N & Jamil, A.A. (2017). Ranking triangular fuzzy numbers using the area between the original point and the incenter, The journal of Mathematical Association of Nigeria, Vol. 44 (1), mathematical series August.

Deng, Y. Shi, W., Du, F., & Liu, Qi. A new similarity measure of generalized fuzzy

numbers and its application to pattern recognition, Pattern Recognition Letters,

25(2004)875-883.

Jain, R., Decision making in the presence of fuzzy variables, IEEE Transactions on

Systems Man and Cybernetics, 6(10)(1976)698-703.

Kaufmann, A., & Gupta, M. M. (1988). Fuzzy mathematical models in engineering and management science. North-Holland.

Kumar, A., Singh, P., Kaur, P., & Kaur, A. (2010). Ranking of generalized trapezoidal fuzzy numbers based on rank, mode, divergence and spread. Turkish Journal of Fuzzy Systems, 1(2), 141–152.

Kumar, A., Singh, P., Kaur, P., & Kaur, A. (2011). A new approach for ranking of L-R type generalized fuzzy numbers. Expert Systems with Applications, 38, 10906–10910.

Klir, G.J. & Yuan, B. (1995). Fuzzy Sets and Fuzzy Logic. Vol. 4, Prentice Hall.

Kumar, Amit., Pushpinder, S., Amarpreet, K. & Parmpreet, K., Ranking of generalized

trapezoidal fuzzy numbers based on rank, mode, divergence and spread, Turkish Journal

of Fuzzy Systems, 1(2)(2011)141-152.

Kwang, H.C. & Lee, J.H., A method for ranking fuzzy numbers and its application to

decision making, IEEE Transactions on Fuzzy Systems, 7(6)(1999) 677-685.

Lious, T., & Wang, M. (1992). Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems, 50(3), 247–255.

Modarres, M., & Nezhad, S.S. (2001). Ranking fuzzy numbers by preference ratio. Fuzzy Sets and Systems, 118(3) 429-436.

Rezvani, S. (2012). A new method of ranking in perimeters of two generalized trapezoidal fuzzy numbers. International Journal of Applied Operational Research, 2(3), 85–92.

Wang, Y.J & Lee, H.S., The reversed method of ranking fuzzy numbers with an area between the centroid and original points, Computers and Mathematics with Applications, 55(9)(2009)492-501.

Singh, D., Datti, A. S., & Alkali, A. J. (2015). Revised method of ranking generalized trapezoidal fuzzy numbers using section-wise perimeters. Turkish Journal of Fuzzy Systems, 1, 1–26.

Suresh, B., Thorani, S., & Ravi Shankar, N. (2012). Method of ranking generalized fuzzy numbers using centroid of centroids. International Journal of Fuzzy Logic Systems, 2(3), 17–32.

Wang, Z., Liu, Y., Fan, Z., & Feng, B. (2009). Ranking L-R fuzzy numbers based on deviation degree. Information Sciences, 179(13), 2070–2077.

Yager, R.R., A procedure for ordering fuzzy subsets of the unit interval Information

Sciences, 24(2)(1981)143-161.

Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

Zimmermann, H. J. (1996). Fuzzy set theory and its applications (3rd ed.). Kluwer.

A Generalized Trapezoidal Fuzzy Number

Downloads

Published

28-10-2026

How to Cite

Datti, S. (2026). An α-Cut-Based Ranking Index for Normal Trapezoidal Fuzzy Numbers. FUDMA Journal of Sciences, 10(21), 124-129. https://doi.org/10.33003/fjs-2026-1021-6263