Open Access
Issue |
RAIRO-Oper. Res.
Volume 57, Number 6, November-December 2023
|
|
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Page(s) | 3191 - 3222 | |
DOI | https://doi.org/10.1051/ro/2023174 | |
Published online | 18 December 2023 |
- K.T. Atanassov, Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20 (1986) 87–96. [Google Scholar]
- K.T. Atanassov, More on intuitionistic fuzzy sets. Fuzzy Sets Syst. 33 (1989) 37–46. [CrossRef] [Google Scholar]
- K.T. Atanassov, Operators over interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 64 (1994) 195–174. [Google Scholar]
- K.T. Atanassov and G. Gargov, Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31 (1989) 343–349. [CrossRef] [Google Scholar]
- G. Beliakov, A. Pradera and T. Calvo, Aggregation Functions: A Guide for practiyioners. Springer, Heidelberg, Germany (2007). [Google Scholar]
- T. Calov, B. De Beats and J. Fodor, The functional equations of Frank and Alsina for uninorms and nullnorms. Fuzzy Sets Syst. 120 (2001) 385–394. [CrossRef] [Google Scholar]
- J. Casanovas and J. Torrens, An axiomatic approach to fuzzy cardinalities of finite fuzzy sets. Fuzzy Sets Syst. 133 (2003) 193–209. [CrossRef] [Google Scholar]
- C.T. Chen, Extensions of the TOPSIS for group cecision-making under fuzzy environment. Fuzzy Sets Syst. 114 (2000) 1–9. [CrossRef] [Google Scholar]
- S.M. Chen, L.W. Lee, H.C. Liu and S.W. Yang, Multiattribute decision making based on interval-valued intuitionistic fuzzy values. Expert Syst. App. 39 (2012) 10343–10351. [CrossRef] [Google Scholar]
- B.C. Cuong, Picture fuzzy sets-first results, part 1. Seminar neuro-fuzzy systems with applications. Tech. rep., Instiute of mathematics, Hanoi (2013). [Google Scholar]
- B.C. Cuong, Picture fuzzy sets-first results, part 2. Seminar neuro-fuzzy systems with applications. Tech. rep., Instiute of mathematics, Hanoi (2013). [Google Scholar]
- G. Deschrijver, Generalized arithmetic operators and their relationship to t-norms in interval-valued fuzzy set theory. Fuzzy Sets Syst. 160 (2009) 3080–3102. [CrossRef] [Google Scholar]
- G. Deschrijver and E.E. Kerre, Uninorms in L*-fuzzy set theory. Fuzzy Sets Syst. 148 (2004) 243–262. [CrossRef] [Google Scholar]
- M.J. Frank, On the simultaneous associativity of F(x, y) and x + y − F(x, y). Aequationes Mathematicae 19 (1979) 194–226. [CrossRef] [MathSciNet] [Google Scholar]
- H. Garg, Generalized intuitionistic fuzzy interactive geometric interaction operators using Einstein t-norm and t-conorm and their application to decision making. Comput. Ind. Eng. 101 (2016) 53–69. [CrossRef] [Google Scholar]
- H. Garg, N. Agarwal and A. Tripathi, Generalized intuitionistic fuzzy entropy measure of order α and β degree and its appliction to multi-criteria decision making problem. Int. J. Fuzzy Syst. App. 6 (2017) 86–107. [Google Scholar]
- J. Hu, Y. Zhang, X. Chen and Y. Liu, Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowl. Based Syst. 43 (2013) 21–29. [CrossRef] [Google Scholar]
- K. Kumar and H. Garg, TOPSIS method based on the connection number of set pair analysis under interval-valued intuitionistic fuzzy set environment. Comput. Appl. Math. 37 (2016) 1319–1329. [Google Scholar]
- P.D. Liu, Some Hamacher aggregation operators based on the interval-valued intuitionistic fuzzy numbers and their application to group decision making. IEEE Trans. Fuzzy Syst. 22 (2014) 83–97. [CrossRef] [Google Scholar]
- P.D. Liu, Y.H. Li and Y.B. Chen, Some generalized Einstein aggregation operators based on the interval-valued intuitionistic fuzzy numbers and their application to group decision making. Scintia Iranica 22 (2015) 2684–2701. [Google Scholar]
- J. Qin, X. Liu and W. Pedrycz, Frank aggregation operators and their application to hesitant fuzzy multiple attribute decision making. Appl. Soft Comput. 41 (2016) 428–452. [CrossRef] [Google Scholar]
- P. Sarkoci, Domination in the families of Frank and Hamacher t-norms. Kybernetika 41 (2005) 349–360. [MathSciNet] [Google Scholar]
- L.H. Son, Generalized picture distance measure and applications to picture fuzzy clustering. Appl. Soft Comput. 46 (2016) 284–295. [Google Scholar]
- W. Wang and H. He, Research on flexible probability logic operator based on Frank T/S norms. Acta Electron. Sinic. 37 (2009) 1141–1145. [Google Scholar]
- W. Wang and X. Liu, Intuitionistic fuzzy aggregation using Einstein operations. IEEE Trans. Fuzzy Syst. 20 (2012) 923–938. [CrossRef] [Google Scholar]
- J.Q. Wang, K.J. Li and H.Y. Zhang, Interval-valued intuitionistic fuzzy multi-criteria decision-making aproach based on prospect score function. Knowl.-Based Syst. 20 (2012) 119–125. [CrossRef] [Google Scholar]
- J.Q. Wang, R.R. Nie, H.Y. Zhang and X.H. Chen, Intuitionistic fuzzy multi-criteria decision-making method based on evidential reasoning. Appl. Soft Comput. 13 (2013) 1823–1831. [CrossRef] [Google Scholar]
- G.W. Wei, picture fuzzy cross-entropy for multiple attribute decision making problems. J. Bus. Econ. Manage. 17 (2016) 491–502. [CrossRef] [Google Scholar]
- M. Xia, Z. Xu and B. Zhu, Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm. Knowl. Based Syst. 31 (2012) 78–88. [CrossRef] [Google Scholar]
- Z. Xu, An overview of methods for determining weights. Int. J. Intell. Syst. 20 (2005) 843–865. [CrossRef] [Google Scholar]
- Z. Xu, Multi-person malti-attribute decision making models under intuitionistics fuzzy environment. Fuzzy Optim. Decis. Mak. 7 (2007) 221–236. [CrossRef] [MathSciNet] [Google Scholar]
- Z. Xu and R.R. Yager, Intuitionistic and interval-valued intuitionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group. Fuzzy Optim. Decis. Mak. 8 (2009) 123–139. [CrossRef] [MathSciNet] [Google Scholar]
- R.R. Yager, On some new classes of implication operators and their role in approximate reasoning. Inf. Sci. 167 (2004) 193–216. [CrossRef] [Google Scholar]
- Z.L. Yue, Deriving decision maker’s weights based on distance measur for interval-valued intuitionistic fuzzy group decision making. Expert Syst. App. 38 (2011) 11665–11670. [CrossRef] [Google Scholar]
- L.A. Zadeh, Fuzzy sets. Inf. Control 8 (1965) 338–353. [Google Scholar]
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