MAX-DOT Pseudo-code float Output; Value = GetMembership(inputV, DeltaV); // returns a value for Value_chLow, Value_nochange, etc Timming = GetMembership(inputT, DeltaT); // returns a value for Timming_low, Timming_High, etc For each rule if rule[I] applies then // depending on the Rule Timming/Value applies // and are used in the array Output = MAX(Value[I]*Timming[I], Output); end; return Defuzzify(Output)
Other Applications ATM Admission control and congestion control
 R. Cheng, C. Chuang. "Design of a Fuzzy Traffic Controller for ATM Networks", IEEE/ACM Transactions on Networking, vol 4, No3., pp 460-469, June 1996.
 V. Catania, G. Ficili, S. Palazzo, D. Panno. "A Comparative Analysis of Fuzzy versus Conventional Policing Mechanisms for ATM networks", IEEE/ACM Transactions on Networking, vol. 4, No.3, June 1996.
 H. Li, V. Yen "Fuzzy Sets and Fuzzy Decision Making", CRC-Press, 1995.
 A. Bonde and S. Ghosh. “A comparative Study of Fuzzy versus “fixed” thresholds for robust queue management in cell-switching networks”, IEEE/ACM Transactions on Networking Vol. 2, No. 4, August 1994, pp 337-344
 R. Cheng, C. Chang, L. Ling. “A QoS Neural Fuzzy Connection Admission Controller for Multimedia High-Speed Networks”, IEEE/ACM Transactions on Networking”, Vo. 7, No. 1, February 1999.
 L. Maguire, B. Roche, T. McGinnity, et. Al. “Predicting a chaotic time series using a fuzzy neural network” Elsevier- Information Sciences, No. 112, January 1998, 125-136
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