Abstract
This article investigates the use of two operational transformation techniques –that represent one interval-valued intuitionistic fuzzy number by two intuitionistic fuzzy numbers in a constructive manner– for the smooth aggregation of interval-valued intuitionistic fuzzy numbers, and for multi-attribute decision making in this framewok. Decisions and prioritizations are made by comparison laws involving the concepts of score and accuracy of an interval-valued intuitionistic fuzzy number. We show how these figures can be derived from the corresponding proxies for the intuitionistic fuzzy numbers that represent it. A comparative study concludes this investigation.
Alcantud is grateful to the Junta de Castilla y León and the European Regional Development Fund (Grant CLU-2019-03) for the financial support to the Research Unit of Excellence “Economic Management for Sustainability” (GECOS). The research of Santos-García was funded by the project ProCode-UCM (PID2019-108528RB-C22) from the Spanish Ministerio de Ciencia e Innovación.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alcantud, J.C.R., Santos-García, G.: Aggregation of interval valued intuitionistic fuzzy sets based on transformation techniques. In: 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2023)
Atanassov, K., Gargov, G.: Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31(3), 343–349 (1989). https://doi.org/10.1016/0165-0114(89)90205-4, https://www.sciencedirect.com/science/article/pii/0165011489902054
Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Atanassov, K.T.: New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets Syst. 61(2), 137–142 (1994). https://doi.org/10.1016/0165-0114(94)90229-1, https://www.sciencedirect.com/science/article/pii/0165011494902291
Beliakov, G., Bustince, H., Goswami, D., Mukherjee, U., Pal, N.: On averaging operators for Atanassov’s intuitionistic fuzzy sets. Inf. Sci. 181(6), 1116–1124 (2011). https://doi.org/10.1016/j.ins.2010.11.024, https://www.sciencedirect.com/science/article/pii/S0020025510005694
Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide for Practitioners, Studies in Fuzziness and Soft Computing, vol. 221. Springer, Berlin, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73721-6, http://dblp.uni-trier.de/db/series/sfsc/index.html
Chen, S.M., Cheng, S.H., Tsai, W.H.: Multiple attribute group decision making based on interval-valued intuitionistic fuzzy aggregation operators and transformation techniques of interval-valued intuitionistic fuzzy values. Inf. Sci. 367–368, 418–442 (2016). https://doi.org/10.1016/j.ins.2016.05.041, https://www.sciencedirect.com/science/article/pii/S0020025516303802
Chen, S.M., Tan, J.M.: Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 67(2), 163–172 (1994). https://doi.org/10.1016/0165-0114(94)90084-1, https://www.sciencedirect.com/science/article/pii/0165011494900841
Deng, J., Zhan, J., Herrera-Viedma, E., Herrera, F.: Regret theory-based three-way decision method on incomplete multi-scale decision information systems with interval fuzzy numbers. IEEE Trans Fuzzy Syst. 1–15 (2022). https://doi.org/10.1109/TFUZZ.2022.3193453
Hong, D.H., Choi, C.H.: Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 114(1), 103–113 (2000). https://doi.org/10.1016/S0165-0114(98)00271-1, https://www.sciencedirect.com/science/article/pii/S0165011498002711
Huang, X., Zhan, J., Xu, Z., Fujita, H.: A prospect-regret theory-based three-way decision model with intuitionistic fuzzy numbers under incomplete multi-scale decision information systems. Expert Syst. Appl. 214, 119144 (2023). https://doi.org/10.1016/j.eswa.2022.119144, https://www.sciencedirect.com/science/article/pii/S0957417422021625
Lakshmana Gomathi Nayagam, V., Muralikrishnan, S., Sivaraman, G.: Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets. Expert Syst. Appl. 38(3), 1464–1467 (2011). https://doi.org/10.1016/j.eswa.2010.07.055, https://www.sciencedirect.com/science/article/pii/S0957417410006834
Sambuc, R.: Functions \(\varPhi \)-floues, application à l’aide au diagnostic en pathologie thyroïdienne. Ph.D. thesis, Université de Marseille (1975)
Wang, C.Y., Chen, S.M.: A new multiple attribute decision making method based on linear programming methodology and novel score function and novel accuracy function of interval-valued intuitionistic fuzzy values. Inf. Sci. 438, 145–155 (2018). https://doi.org/10.1016/j.ins.2018.01.036, https://www.sciencedirect.com/science/article/pii/S0020025518300483
Wang, Q., Sun, H.: Interval-valued intuitionistic fuzzy Einstein geometric Choquet integral operator and its application to multiattribute group decision-making. Math. Probl. Eng. 2018, 9364987 (2018). https://doi.org/10.1155/2018/9364987, https://doi.org/10.1155/2018/9364987
Wang, W., Liu, X.: Interval-valued intuitionistic fuzzy hybrid weighted averaging operator based on Einstein operation and its application to decision making. J. Intell. Fuzzy Syst. 25(2), 279–290 (2013). https://doi.org/10.3233/IFS-120635
Wang, W., Liu, X.: The multi-attribute decision making method based on interval-valued intuitionistic fuzzy Einstein hybrid weighted geometric operator. Comput. Math. Appl. 66(10), 1845–1856 (2013). https://doi.org/10.1016/j.camwa.2013.07.020, https://www.sciencedirect.com/science/article/pii/S0898122113004641
Wang, Z., Li, K.W., Wang, W.: An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights. Inf. Sci. 179(17), 3026–3040 (2009). https://doi.org/10.1016/j.ins.2009.05.001, https://www.sciencedirect.com/science/article/pii/S0020025509002102
Xu, Z., Chen, J.: On geometric aggregation over interval-valued intuitionistic fuzzy information. In: Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), vol. 2, pp. 466–471 (2007). https://doi.org/10.1109/FSKD.2007.427
Xu, Z., Yager, R.R.: Some geometric aggregation operators based on intuitionistic fuzzy sets. Int. J. Gen. Syst. 35(4), 417–433 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Alcantud, J.C.R., Santos-García, G. (2023). Transformation Techniques for Interval-Valued Intuitionistic Fuzzy Sets: Applications to Aggregation and Decision Making. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_29
Download citation
DOI: https://doi.org/10.1007/978-3-031-39965-7_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-39964-0
Online ISBN: 978-3-031-39965-7
eBook Packages: Computer ScienceComputer Science (R0)