SPECTRAL ANALYSIS MODEL OF SIMULATED N-TEAM INTERACTING DECISION MAKERS WITH BOUNDED RATIONALITY CONSTRAINTS

The spectral analysis model was derived to forecast performance of interacting decision makers, based on the simulated mode that was adopted for the model of N-Teams of interacting decision maker (DM) with bounded rationality constraints. Using this model, the effectiveness (efficiency) of command input involving a feedback mechanism in a command, control, communication, and intelligence (C3I) system in conjunction with decision support system (DSS) was investigated with a view to determining output (workload/performance of effectors/forecast) integrity. In a hierarchical organization, the performance of the last decision maker as was observed by Oladejo, was found to be greatly hampered by the colossal amount of bounded rationality constraints. The overall performance of the system was obtained using the Weibull distribution. The results here did not indicate obvious decline in the level of performance as expected when the process operates through the hierarchical structure. The overall performance which exhibited sinusoidal pattern was compared with the derived spectral analysis model Y, with the aid of the package number cruncher statistical system (NCSS). The trade-off between the derived optimal probability density function and the relative frequencies of forecasts was found to be insignificant this therefore establishes as the developed model acceptability. The goodness of fit of the spectral model of the original,(simulated deviates), corroborated this model acceptability with high values of coefficient multiple determination (R),low Fisher -F ratio in ANOVA, narrow confidence internal (CI), and insignificant autocorrelation factor (ACF)/portal autocorrelation factor (PACF).