Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning (II). Zadeh, L.A.: The concept of a linguistic variable and its applications to approximate reasoning (I). 36(6), 2498–2509 (2012)ĭeschrijver, G., Cornelis, C., Kerre, E.E.: On the representation of intuitionistic fuzzy t-norms and t-conorms. Liu, P.D., Jon, F.: A multi-attribute group decision making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers.
Liu, P.: A weighted aggregation operators multi-attribute group decision making method based on interval valued trapezoidal fuzzy numbers. Hwang, J., Park, H.K.: Adaptive interval type-2 fuzzy sliding mode control for unknown chaotic system. 179(13), 2102–2122 (2009)Īkey, D., Kulak, O., Henson, B.: Conceptual design evaluation using interval type-2 fuzzy information axiom. 9(5), 398–406 (2005)Ĭhoi, B., Rhee, F.C.: Interval type-2 fuzzy membership function generation methods for pattern recognition.
Wang, S.T., Chung, F.L., Li, Y.T., Hu, W., Wu, X.S.: A new Gaussian noise filter based on Interval type-2 fuzzy logic systems. Maldonado, Y., Castillo, O., Melin, P.: Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications. 187, 151–170 (2012)Ībbadi, A., Nezli, L., Bokhetala, D.: A nonlinear voltage controller based on interval type-2 fuzzy logic control system for multimachine power systems. Liu, X., Mendel, J.M., Wu, D.: Analytical solution methods for the fuzzy weighted average. Mendel, J.M., John, R.I., Liu, F.: Interval type-2 fuzzy logic systems made simple. (2000)Īisbett, J., Rickard, J.T., Mergenthaler, D.: Multivariate modeling and type-2 fuzzy sets. 18, 903–923 (2003)ĭetyniecki, M.: Mathematical aggregation operators and their application to video querying, Thesis for the degree Docteur de l’Universite Paris VI.
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2014, 1–24 (2014)īeliakov, G.: How to build aggregation operators from data? Int. Qin, J., Liu, X.: Frank aggregation operators for triangular interval type-2 fuzzy set and its application in multiple attribute group decision making. Nasseri, H.: Fuzzy numbers: positive and non-negative. 8(5), 535–550 (2000)Īminifar, S., Marzuki, A.: Uncertainty in interval type-2 fuzzy systems. Liang, Q., Mendel, J.M.: Interval type-2 fuzzy logic systems: theory and design. John, R.I.: Type-2 fuzzy sets: an appraisal of theory and applications. Karnik, N.N., Mendel, J.M.: Centroid of a type-2 fuzzy set. Gong, Y.: Fuzzy multi-attribute group decision making method based on interval type-2 fuzzy sets and applications to global supplier selection. Wu, D.R., Mendel, J.M.: Aggregation using the linguistic weighted average and interval type-2 fuzzy sets. Werro, N.: Fuzzy classifications of online customers. Zimmermann, H.J.: Advanced review, fuzzy set theory.
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