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[6] E E Barlow and F Proschan Statistical Theory of Reliability and Life Testing Holt, Rinehart & Winston, New York, 1975 [7] Y K Belyayev, B V Gnedenko, and A D Solovyev Mathematical Methods of Reliability Theory Academic Press, New York, 1969 [8] H Cancela and M El Khadiri A recursive variance-reduction algorithm for estimating communication-network reliability IEEE Transactions on Reliability, 44(4): 595 602, 1995 [9] H Cancela and M El Khadiri An improvement to the total hazard method for system reliability simulation Probability in the Engineering and Informational Sciences, 10(2): 187 196, 1996 [10] H Cancela and M El Khadiri A simulation algorithm for source-terminal communication network reliability In Proceedings of the 29th Annual Simulation Symposium, pp 155 161, New Orleans, LA, April 1996 IEEE Computer Society Press [11] H Cancela and M El Khadiri Series-parallel reductions in Monte Carlo network reliability evaluation IEEE Transactions on Reliability, 47(2): 159 164, 1998 [12] H Cancela and M El Khadiri On the RVR simulation algorithm for network reliability evaluation IEEE Transactions on Reliability, 52(2): 207 212, 2003 [13] H Cancela and M El Khadiri On the accuracy of the RVR estimator of K-terminal unreliability parameter In 7th International Workshop on Rare Event Simulation (RESIM 2008), University of Rennes 1, France, September 2008 [14] H Cancela, M El Khadiri, and G Rubino An ef cient simulation method for K-network reliability problem In 6th International Workshop on Rare Event Simulation (RESIM 2006), University of Bamberg, Germany, October 2006 [15] H Cancela, L Murray, and G Rubino Splitting in source-terminal network reliability estimation In 7th International Workshop on Rare Event Simulation (RESIM 2008), University of Rennes 1, France, September 2008 [16] H Cancela, G Rubino, and M E Urquhart Path set based conditioning for transient simulation of highly dependable networks In M Zaremba, J Sasiadek and H Erbe, eds, 7th IFAC Symposium on Cost Oriented Automation, Elsevier Science, Gatineau/Ottawa, Canada, June 2004 [17] H Cancela and M E Urquhart RVR simulation techniques for residual connectedness network reliability evaluation IEEE Transactions n Computers, 51(4): 439 443, 2002 [18] C J Colbourn The Combinatorics of Network Reliability Oxford University Press, New York, 1987 [19] J L Cook and J E Ramirez-Marquez Two-terminal reliability analyses for a mobile ad hoc wireless network Reliability Engineering and Systems Safety, 92(6): 821 829, 2007 [20] D Deeter and A Smith Heuristic optimization of network design considering all-terminal reliability In Proceedings of the Annual Reliability and Maintainability Symposium, pp 194 199, Philadelphia, PA, USA, 1997 [21] D Deeter and A Smith Economic design of reliable networks IIE Transactions, 30(12): 1161 1174, 1998 [22] B Dengiz, F Altiparmak, and A E Smith Ef cient optimization of all-terminal reliable networks, using an evolutionary approach IEEE Transactions on Reliability, 46(1): 18 26, 1997.

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Proceedings of 1st International Conference on Innovative Computing, Information and Control ol. 1, IEEE Press pp. 450 453. 2006. 144. Z. Huang and Q. Shen. Fuzzy interpolative reasoning via scale and move transformation. IEEE Trans. Fuzzy Sys. 14(2): 340 359. 2006. 145. Z. Huang and Q. Shen. Fuzzy interpolative and extrapolative reasoning: A practical approach. IEEE Trans. Fuzzy Sys., 16(1): 13 28. 2008. Forthcoming. 146. E. Hunt, J. Martin, and P. Stone. Experiments in Induction. New York: Academic Press. 1966. 147. T. Hvidsten, A. L greid, and J. Komorowski. Learning rule-based models of biological process from gene expression time pro les using gene ontology. Bioinformatics 19: 1116 1123. 2003. 148. Internet News. 1.5 Million Pages Added to Web Each Day, Says Research Company, September 1st, 1998. Available at . Rough set-based feature selection: A review In A. E. Hassanien, Z. Suraj, D. Slezak, and P. Lingras, eds., Rough Computing: Theories, Technologies and Applications. IGI Global Press pp. 70 107. 2007. 168. R. Jensen and Q. Shen. Fuzzy-Rough Sets Assisted Attribute Selection. IEEE Trans. Fuzzy Sys. 15(1): 73 89. 2007. Code Maker In .NET Using Barcode maker for .Related: 

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