The importance of understanding the reasons for past decisions is not a new subject. However, there seems to be a gap when it comes to verifying the e±ciency of tools for understanding past decisions. In this paper, we show that the ability to perform decision reconstruction using a Group Support System (GSS) can provide a °exible solution to the problem, but only if the information model under...

Decision support systems may require the use of existing complex mathematical models. It is desirable to reduce the equations of such a model to an explanatory causal form to support decision making, for example in making decisions about the greenhouse effect. This paper presents an approach to constructing causal explanation from existing complex mathematical models. The method combines inform...

according to recent developments of predicting methodsin financial markets, and since the stock price is one of the mostimportant factors for investment decision-making, and its predictioncan play an important role in this field, the aim of this study is toprovide a model to predict the stock price movement with highaccuracy. accordingly, a hybrid model for predicting the stock pricemovement us...

much research hasn’t been done in the area of project selection in the public sector. in this paper, we tried to choose projects in the public sector, and a linear programming model is presented. in an effort to build the model, the decision criteria were identified using the delphi method and then the criteria were reviewed at conceptual combining. the model was constructed in a linear, goal a...