Abstract
In 1983, Atanassov extended the fuzzy set and originally introduced the concept of intuitionistic fuzzy set (IFS). The basic elements in every IFS are called intuitionistic fuzzy numbers, each of which consists of a membership degree, a non-membership degree and a hesitancy degree. Compared with the traditional fuzzy set, the IFS is more flexible and practical to deal with the ambiguity and uncertainty. In this paper, we first try to define the basis in intuitionistic fuzzy environment and then study some of its relevant properties. After that, we propose the coordinates based on the basis and present some theorems of the coordinates. Finally, we show how to find the smallest basis of any region.









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Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–356 (1965)
Yager, R.R., Kacprzyk, J.: The ordered weighted averaging operators: theory and applications. Kluwer, Norwell (1997)
Bustince, H., Herrera, F., Montero, J.: Fuzzy sets and their extensions: representation, aggregation and models. Springer, Berlin (2008)
Atanassov, K.: Intuitionistic fuzzy set. Fuzzy Sets Syst. 20, 87–96 (1986)
Xu, Z.S., Cai, X.Q.: Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optim. Decis. Mak. 9, 359–381 (2010)
Hong, D.H., Choi, C.H.: Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 114, 103–113 (2000)
Atanassov, K., Pasi, G., Yager, R.R.: Intuitionistic fuzzy interpretations of multi-criteria multi- person and multi-measurement tool decision making. Int. J. Syst. Sci. 36, 859–868 (2005)
Xu, Z.S., Yager, R.R.: Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group. Fuzzy Optim. Decis. Mak. 8(2), 123–139 (2009)
Xu, Z.S., Cai, X.Q.: Nonlinear optimization models for multiple attribute group decision making with intuitionistic fuzzy information. Int. J. Intell. Syst. 25, 489–513 (2010)
Hung, W.L., Yang, M.S.: Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance. Pattern Recogn. Lett. 25, 1603–1611 (2004)
Vlachos, K.I., Sergiadis, G.D.: Intuitionistic fuzzy information-applications to pattern recognition. Pattern Recogn. Lett. 28, 197–206 (2007)
Xu, Z.S.: On similarity measures of interval-valued intuitionistic fuzzy sets and their application to pattern recognitions. J. Southeast Univ. 23(1), 139–143 (2007)
De, S.K., Biswas, R., Roy, A.R.: An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets Syst. 117, 209–213 (2001)
Szmidt, E., Kacprzyk, J.: A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning. In: Lecture Notes in Artificial Intelligence, 2004, vol. 3070, pp. 388–393
Xu, Z.S., Yager, R.R.: Some geometric aggregation operators based on intuitionistic fuzzy sets. Int. J. Gen. Syst. 35, 417–433 (2006)
Xu, Z.S.: Intuitionistic fuzzy aggregation operations. IEEE Trans. Fuzzy Syst. 15, 1179–1187 (2007)
Lei, Q., Xu, Z.S.: Derivative and differential operations of intuitionistic fuzzy numbers. Int. J. Intell. Syst. 30, 468–498 (2015)
Lei, Q., Xu, Z.S.: Fundamental properties of intuitionistic fuzzy calculus. Knowl. Based Syst. 76, 1–16 (2015)
Lei, Q., Xu, Z.S., Bustince, H., Burusco, A.: Definite integrals of Atanassov’s intuitionistic fuzzy information. IEEE Trans. Fuzzy Syst. 23, 1519–1533 (2015)
Lei, Q., Xu, Z.S.: A unification of intuitionistic fuzzy calculus theories based on subtraction derivatives and division derivatives. IEEE Trans. Fuzzy Syst. (2016). https://doi.org/10.1109/tfuzz.2016.2593498
Lei, Q., Xu, Z.S.: Relationship between two types of intuitionistic fuzzy definite integrals. IEEE Trans. Fuzzy Syst. 24, 1410–1425 (2016)
Lei, Q., Xu, Z.S., Bustince, H., Fernandez, J.: Intuitionistic fuzzy integrals based on Archimedean t-conorms and t-norms. Inf. Sci. 327, 57–70 (2016)
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The work was supported by the National Natural Science Foundation of China (Nos. 71571123 and 71771155).
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Ma, R., Liu, S., Xu, Z. et al. The Basis and Coordinates in Intuitionistic Fuzzy Environment. Int. J. Fuzzy Syst. 20, 1483–1494 (2018). https://doi.org/10.1007/s40815-018-0469-4
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DOI: https://doi.org/10.1007/s40815-018-0469-4