Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Prioritizing alternative using evolutionary computing procedure in AHP
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
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The work has many sections. After a short description of χ2 test of goodness of fit (section 1), section 2 describes step by step two algorithms of χ2 test to verify the hypothesis of one-dimensional normal distribution: algorithm 1 in the specified case (m and σ2 are known values) and algorithm 2 in the unspecified case (m* and σ*2 are estimated values). Both algorithms are validated by simulated data. The section 3 gives the algorithm 3 for χ2 test of log-normal distribution in unspecified case. The log-normal distribution is appropriate for estimation of reliability parameters for semiconductor devices. The application of algorithm 3 is the aim of [6], where experimental data are used. The log-normal hypothesis H is accepted. The section 4 deals with χ2 test of multidimensional normal distribution in specified case and presents the algorithm AlgoHI2NormMultdSC. The section 5 deals with χ2 test of multidimensional normal distribution in unspecified case and presents the algorithm AlgoHI2NormMultdUSC. The last two algorithms are validated by numerical data. The section 6 contains a C++ source program of χ2 test for the algorithm 1. A Demo printed result is presented for this algorithm.