Study on the Influence IDs Model of the Structure and the Behavior Choice

The complicated decision making problem is one of the important components for the study on the system of artificial intelligence area. This thesis, based on the Bayesian technology and decision-making theory, is going to optimize the traditional IDs model and improve the ability of expression of the model. and also by using the sum of individual utility function instead of the joint utility function to create the BP neural network to study the utility function structure of the IDs. The experimental result shows the method mentioned above is effective.

Valoración de bienes ambientales complejos: Una alternativa multicriterio

Economic valuation of complex environmental goods has several issues still opened to debate. This paper focuses on two of these aspects; linearity of attributes in the valuation function and individual utility function heterogeneity. A methodological approach based on Multi-attribute Utility Theory is proposed which allows to contrast the impact of these concerns on environmental good valuation. We apply the proposed methodology to value a protected natural in the province of Granada (Spain). From the results obtained we can conclude that attribute non-linearity and individual utility function’s heterogeneity are relevant aspects to be taken into account in environmental valuation.