Y. Ito (Japan)
Phillips-type stabilization policy, neurofuzzy, Sony, econometric models, membership function. corporate models
This paper is to give the theoretical framework of the Phillips-type feedback stabilization policy by neurofuzzy algorithm and apply it to corporate models of Japan as an illustrative example. The traditional Phillips-type stabilization policy model has some defects and has remained some unsolved problems. One of the important extensions is to apply for nonlinear systems. Another extension is assigned to multi-inputs (control) and multi-outputs (targets). However, we cannot perfectly understand how related each input to outputs and how much intensity of connectedness among inputs and outputs exit from accounting variables through electronic money transactions among various financial intermediaries in the current complex financial flows. The first and second extension can be dealt with fuzzy type with IF-THEN clause control and the RBF membership function. In order to find the clear casual relations between controls and targets in corporations,neurofuzzy algorithm can be applied to this complex of the cash inflows and cash outflows in funds in the balance sheet and income statement of company unsolved till recently. This proposal will be analyzed from the viewpoint of neurofuzzy PID stabilization policy making., and considers efficacy of thisneurofuzzy stabilization policy modeling for the corporate models by simulating for Sony corporation..
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