[1] S. Assilian, Articial intelligence in the control of real dynamical systems, Ph.D. Thesis,
London University, Great Britain, 1974.
[2] J. Dombi, Pliant arithmetics and pliant arithmetic operations, Acta Polytechnica Hungarica,
6(5) (2009), 19{49.
[3] D. Driankov, H. Hellendoorn and M. Reinfrank, An introduction to fuzzy control, Springer
Science & Business Media, Berlin, 2013.
[4] D. Dubois and H. Prade, Operations on fuzzy numbers, Int. J. Systems Science, 9 (1978),
613{626.
[5] D. Dubois and H. Prade, Fuzzy members: An overview, Analysis of Fuzzy Information, Vol.
I., CRC Press, Boca Raton, FL, (1987), 3{39.
[6] D. Dubois and H. Prade, Special issue on fuzzy numbers, Fuzzy Sets and System, 24 (3),
1987.
[7] D. Filev and R.Yager, A generalized defuzzication method via BAD distributions, Internat.
J. Intell. Systems, 6 (1991), 689{697.
[8] R. Fuller and R. Mesiar, Special issue on fuzzy arithmetic, Fuzzy Sets and System, 91(2)
(1997).
[9] R. Jain, Tolerance analysis using fuzzy sets, International Journal of Systems Science, 7(12)
(1976), 1393{1401.
[10] T. Jiang and Y. Li, Generalized defuzzication strategies and their parameter learning pro-
cedures, IEEE Trans. Fuzzy Systems, 4 (1996), 64{71.
[11] A. Kaufmann and M. M. Gupta, Introduction to fuzzy arithmetic: theory and applications,
Van Nostrand Reinhold, New York, 1985.
[12] A. Kaufmann and M. M. Gupta, Fuzzy mathematical models in engineering and management
science, North-Holland, Amsterdam, 1988.
[13] E. Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, Proc. IEE,
121 (1974), 1585{1588, .
[14] M. Mares, Computation over fuzzy quantities, CRC Press, Boca Raton, FL, 1994.
[15] M. Mizumoto and K. Tanaka, The four operations of arithmetic on fuzzy numbers, Systems
Comput. Controls, 7(5) (1976), 73{81.
[16] M. Mizumoto and K. Tanaka, Algebraic properties of fuzzy numbers, Proc. Int. Conf. On
Cybernetics and Society, Washington, DC, (1976), 559{563.
[17] S. Nahmias, Fuzy variables, Fuzzy Sets and System, 1 (1978), 97{110.
[18] H. T. Nguyen, A note on the extension principle for fuzzy sets, J. Math. Anal. Appl., 64
(1978), 369{380.
[19] A. Patel and B. Mohan, Some numerical aspects of center of area defuzzication method,
Fuzzy Sets and Systems, 132 (2002), 401{409.
[20] S. Roychowdhury and B.-H.Wang, Cooperative neighbors in defuzzication, Fuzzy Sets and
Systems,78 (1996), 37{49.
[21] S. Roychowdhury and W. Pedrycz, A survey of defuzzication strategies, Internat. J. Intell.
Systems, 16 (2001), 679{695.
[22] A. Sakly and M. Benrejeb, Activation of trapezoidal fuzzy subsets with dierent inference
methods, International Fuzzy Systems Association World Congress, Springer Berlin Heidel-
berg, (2003), 450{457.
[23] Q. Song and R. Leland, Adaptive learning defuzzication techniques and applications, Fuzzy
Sets and Systems, 81 (1996), 321{329.
[24] M. Sugeno, Industrial Applications of Fuzzy Control, Elsevier Science Publishers, New York,
1985.
[25] E. Van Broekhoven and B. De Baets, Fast and accurate centre of gravity defuzzication of
fuzzy system outputs dened on trapezoidal fuzzy partitions, Fuzzy Sets and Systems, 157
(2006), 904{918.
[26] W. Van Leekwijck and E. Kerre, Defuzzication: criteria and classication, Fuzzy Sets and
Systems, 108 (1999), 159{178.
[27] R. Yager and D. Filev, SLIDE: a simple adaptive defuzzication method, IEEE Trans. Fuzzy
Systems, 1 (1993), 69{78.
[28] R. C. Young, The algebra of many-valued quantities, Math. Ann., 104 (1931), 260{290.
[29] L. A. Zadeh, The concept of a linquistic variable and its application to approximate reasoning,
Information Sciences, 1(8) (1975), 199{249.