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Operations on type-2 fuzzy sets. (English) Zbl 1010.03047

Summary: We discuss set operations on type-2 fuzzy sets (including join and meet under minimum/product t-norm), algebraic operations, properties of membership grades of type-2 sets, and type-2 relations and their compositions. All this is needed to implement a type-2 fuzzy logic system (FLS).

MSC:

03E72 Theory of fuzzy sets, etc.
03B52 Fuzzy logic; logic of vagueness
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[1] Chaneau, J.L.; Gunaratne, M.; Altschaeffl, A.G., An application of type-2 sets to decision making in engineering, ()
[2] Dubois, D.; Prade, H., Operations on fuzzy numbers, Internat. J. systems sci., 9, 6, 613-626, (1978) · Zbl 0383.94045
[3] Dubois, D.; Prade, H., Operations in a fuzzy-valued logic, Inform. and control, 43, 224-240, (1979) · Zbl 0434.03020
[4] Dubois, D.; Prade, H., Fuzzy sets and systems: theory and applications, (1980), Academic Press, Inc. New York · Zbl 0444.94049
[5] Hisdal, E., The IF THEN ELSE statement and interval-valued fuzzy sets of higher type, Internat. J. man-Mach. stud., 15, 385-455, (1981) · Zbl 0471.03013
[6] John, R.I., Type 2 fuzzy setsan appraisal of theory and applications, Internat. J. uncertainty, fuzziness knowledge-based systems, 6, 6, 563-576, (1998) · Zbl 1087.68639
[7] R.I. John, C. Czarnecki, A type 2 adaptive fuzzy inferencing system, 1998 IEEE Internat Conf. on Systems, Man, and Cybernetics, San Diego, CA, USA, October 1998, pp. 2068-2073.
[8] R.I. John, P.R. Innocent, M.R. Barnes, Type 2 fuzzy sets and neuro-fuzzy clustering of radiographic tibia images, 1998 IEEE Internat. Conf. on Fuzzy Systems, Anchorage, AK, USA, May 1998, pp. 1373-1376.
[9] Karnik, N.N., Type-2 fuzzy logic systems, ph.D. dissertation, (1998), University of Southern California Los Angeles, CA
[10] N.N. Karnik, J.M. Mendel, Introduction to type-2 fuzzy logic systems, Presented at the 1998 IEEE FUZZ Conf. Anchorage, AK, May 1998.
[11] N.N. Karnik, J.M. Mendel, An introduction to type-2 fuzzy logic systems, USC Report, October 1998, http://sipi.usc.edu\(/∼\)mendel/report.
[12] Karnik, N.N.; Mendel, J.M., Applications of type-2 fuzzy logic systems: handling the uncertainty associated with surveys, Proc. FUZZ-IEEE ’99, (1999), Seoul Korea
[13] Karnik, N.N.; Mendel, J.M.; Liang, Q., Type-2 fuzzy logic systems, IEEE trans. fuzzy systems, 7, 6, 643-658, (1999)
[14] Kaufmann, A.; Gupta, M.M., Introduction to fuzzy arithmetic: theory and applications, (1991), Van Nostrand Reinhold New York · Zbl 0754.26012
[15] Klir, G.J.; Folger, T.A., Fuzzy sets, uncertainty, and information, (1988), Prentice-Hall Upper Saddle River, NJ · Zbl 0675.94025
[16] Klir, G.J.; Yuan, B., Fuzzy sets and fuzzy logic: theory and applications, (1995), Prentice-Hall Upper Saddle River, NJ · Zbl 0915.03001
[17] Q. Liang, J.M. Mendel, Interval type-2 fuzzy logic systems: theory and design, IEEE Trans. Fuzzy Systems (2000), to appear.
[18] Q. Liang, J.M. Mendel, MPEG VBR video traffic modeling and classification using fuzzy techniques, IEEE Trans. Fuzzy Systems, submitted.
[19] Mabuchi, S., An interpretation of membership functions and the properties of general probabilistic operators as fuzzy set operators. II. extension to three-valued and interval-valued fuzzy sets, Fuzzy sets and systems, 92, 1, 31-50, (1997) · Zbl 0938.94025
[20] Mendel, J.M., Fuzzy logic systems for engineeringa tutorial, Proc. IEEE, 83, 3, 345-377, (1995)
[21] J.M. Mendel, Computing with words when words can mean different things to different people, Presented at Internat. ICSC Congress on Computational Intelligence: Methods & Applications, 3rd Annual Symp. on Fuzzy Logic and Applications, Rochester, New York, June 22-25, 1999.
[22] Mendel, J.M., Uncertainty, fuzzy logic, and signal processing, Signal processing, 80, 913-933, (2000) · Zbl 1034.94527
[23] Mizumoto, M.; Tanaka, K., Some properties of fuzzy sets of type-2, Inform. and control, 31, 312-340, (1976) · Zbl 0331.02042
[24] Mizumoto, M.; Tanaka, K., Fuzzy sets of type 2 under algebraic product and algebraic sum, Fuzzy sets and systems, 5, 277-290, (1981) · Zbl 0457.04005
[25] Nieminen, J., On the algebraic structure of fuzzy sets of type-2, Kybernetica, 13, 4, (1977) · Zbl 0366.94003
[26] Schwartz, D.G., The case for an interval-based representation of linguistic truth, Fuzzy sets and systems, 17, 153-165, (1985) · Zbl 0595.03017
[27] Wagenknecht, M.; Hartmann, K., Application of fuzzy sets of type 2 to the solution of fuzzy equation systems, Fuzzy sets and systems, 25, 183-190, (1988) · Zbl 0651.04006
[28] Wang, L.X., A course in fuzzy systems and control, (1997), Prentice-Hall Upper Saddle River, NJ
[29] Yager, R.R., Fuzzy subsets of type II in decisions, J. cybernet., 10, 137-159, (1980)
[30] Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning - 1, Inform. sci., 8, 199-249, (1975) · Zbl 0397.68071
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