These are the sources and citations used to research Theoretical Fuzzy. This bibliography was generated on Cite This For Me on
In-text: (Dubois and Prade, 1994)
Your Bibliography: Dubois, D. and Prade, H. (1994). Fuzzy sets and systems. New York, NY: Academic Press.
In-text: (Greenfield and John, 2009)
Your Bibliography: Greenfield, S. and John, R. (2009). The Uncertainty Associated with a Type-2 Fuzzy Set. Views on Fuzzy Sets and Systems from Different Perspectives, pp.471-483.
In-text: (John and Coupland, 2007)
Your Bibliography: John, R. and Coupland, S. (2007). Type-2 Fuzzy Logic: A Historical View. IEEE Computational Intelligence Magazine, 2(1), pp.57-62.
In-text: (Klir and Folger, 1988)
Your Bibliography: Klir, G. and Folger, T. (1988). Fuzzy sets, uncertainty, and information. Englewood Cliffs, N.J.: Prentice Hall.
In-text: (Mendel and John, 2002)
Your Bibliography: Mendel, J. and John, R. (2002). Type-2 fuzzy sets made simple. IEEE Transactions on Fuzzy Systems, 10(2), pp.117-127.
In-text: (Mendel et al., 2014)
Your Bibliography: Mendel, J., Hagras, H., Tan, W., Melek, W. and Ying, H. (2014). Introduction to type-2 fuzzy logic control.
In-text: (Mendel, John and Liu, 2006)
Your Bibliography: Mendel, J., John, R. and Liu, F. (2006). Interval Type-2 Fuzzy Logic Systems Made Simple. IEEE Transactions on Fuzzy Systems, 14(6), pp.808-821.
In-text: (Mo et al., 2014)
Your Bibliography: Mo, H., Wang, F., Zhou, M., Li, R. and Xiao, Z. (2014). Footprint of uncertainty for type-2 fuzzy sets. Information Sciences, 272, pp.96-110.
In-text: (N. Karnik and M. Mendel, 2001)
Your Bibliography: N. Karnik, N. and M. Mendel, J. (2001). Operations on type-2 fuzzy sets. Fuzzy Sets and Systems, 122(2), pp.327-348.
In-text: (Qilian Liang and Mendel, 2000)
Your Bibliography: Qilian Liang and Mendel, J. (2000). Interval type-2 fuzzy logic systems: theory and design. IEEE Transactions on Fuzzy Systems, 8(5), pp.535-550.
In-text: (Zadeh, 1975)
Your Bibliography: Zadeh, L. (1975). The concept of a linguistic variable and its application to approximate reasoning—II. Information Sciences, 8(4), pp.301-357.
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