In a recently published paper, two methods were proposed to solve interval-valued Fermatean fuzzy multi-criteria decision-making problems (those in which the rating value of each alternative over each criterion is represented by an interval-valued Fermatean fuzzy number). In this paper, some numerical examples are considered to show that these existing methods fail to find the correct ranking of the alternatives. Also, the reasons for the failure of these existing methods are pointed out. Furthermore, new methods are proposed to solve the interval-valued Fermatean fuzzy multi-criteria decision-making problems by modifying existing methods. Moreover, the proposed modified methods are illustrated with the help of numerical examples. Finally, the ranking of the alternatives of the two existing real-life interval-valued Fermatean fuzzy multi-criteria decision-making problems is obtained by the proposed methods.
Citation: Raina Ahuja, Meraj Ali Khan, Parul Tomar, Amit Kumar, S. S. Appadoo, Ibrahim Al-Dayel. Modified methods to solve interval-valued Fermatean fuzzy multi-criteria decision-making problems[J]. AIMS Mathematics, 2025, 10(4): 9150-9170. doi: 10.3934/math.2025421
In a recently published paper, two methods were proposed to solve interval-valued Fermatean fuzzy multi-criteria decision-making problems (those in which the rating value of each alternative over each criterion is represented by an interval-valued Fermatean fuzzy number). In this paper, some numerical examples are considered to show that these existing methods fail to find the correct ranking of the alternatives. Also, the reasons for the failure of these existing methods are pointed out. Furthermore, new methods are proposed to solve the interval-valued Fermatean fuzzy multi-criteria decision-making problems by modifying existing methods. Moreover, the proposed modified methods are illustrated with the help of numerical examples. Finally, the ranking of the alternatives of the two existing real-life interval-valued Fermatean fuzzy multi-criteria decision-making problems is obtained by the proposed methods.
| [1] |
L. A. Zadeh, Fuzzy sets, Inf. Control. , 8 (1965), 338–353.https://doi.org/10.1016/S0019-9958(65)90241-X doi: 10.1016/S0019-9958(65)90241-X
|
| [2] |
R. R. Yager, Pythagorean membership grades in multicriteria decision making, IEEE Trans. Syst. , 22 (2014), 958–965.https://doi.org/10.1109/TFUZZ.2013.2278989 doi: 10.1109/TFUZZ.2013.2278989
|
| [3] |
T. Senapati, R. R. Yager, Fermatean fuzzy sets, J. Ambient Intell. Humaniz. Comput. , 11 (2019), 663–674.https://doi.org/10.1007/s12652-019-01377-0 doi: 10.1007/s12652-019-01377-0
|
| [4] |
X. Peng, Y. Yang, Fundamental properties of interval-valued Pythagorean fuzzy aggregation operators, Int. J. Intell. Syst. , 31 (2016), 444–487.https://doi.org/10.1002/int.21790 doi: 10.1002/int.21790
|
| [5] |
S. Jeevaraj, Ordering of interval-valued Fermatean fuzzy sets and its applications, Expert Syst. Appl. , 185 (2021), 115613.https://doi.org/10.1016/j.eswa.2021.115613 doi: 10.1016/j.eswa.2021.115613
|
| [6] |
Z. Y. Bai, An interval-valued intuitionistic fuzzy TOPSIS method based on an improved score function, Sci. World J. , 1 (2013), 879089.https://doi.org/10.1155/2013/879089 doi: 10.1155/2013/879089
|
| [7] |
V. L. G. Nayagam, S. Jeevaraj, P. Dhanasekaran, An intuitionistic fuzzy multi-criteria decision-making method based on non-hesitance score for interval-valued intuitionistic fuzzy sets, Soft Comput. , 21 (2016), 7077–7082.https://doi.org/10.1007/s00500-016-2249-0 doi: 10.1007/s00500-016-2249-0
|
| [8] |
V. L. G. Nayagam, S. Muralikrishnan, S. Geetha, Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets, Expert Syst. Appl. , 38 (2011), 1464–1467.https://doi.org/10.1016/j.eswa.2010.07.055 doi: 10.1016/j.eswa.2010.07.055
|
| [9] |
R. Sahin, Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets, Soft Comput. , 20 (2015), 2557–2563.https://doi.org/10.1007/s00500-015-1657-x doi: 10.1007/s00500-015-1657-x
|
| [10] |
J. Ye, Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment, Expert Syst. Appl. , 36 (2009), 6899–6902.https://doi.org/10.1016/j.eswa.2008.08.042 doi: 10.1016/j.eswa.2008.08.042
|
| [11] |
J. Naeem, A. Muhammad, K. Ullah, M. Tahir, W. Jun, An approach towards decision making and shortest path problems using the concepts of interval-valued Pythagorean fuzzy information, Int. J. Intell. Syst. , 34 (2019), 2403–2428.https://doi.org/10.1002/int.22154 doi: 10.1002/int.22154
|
| [12] | C. L. Hwang, K. Yoon, Multiple attribute decision making-methods and application, In: LNE: Vol. 186, Lecture notes in economics and mathematical systems book series, Berlin Heidelberg: Springer-Verlag, 1981.https://doi.org/10.1007/978-3-642-48318-9 |