A novel grey target decision-making model based on cobweb area and its application for choosing the software development pattern

A grey target decision-making model is an eective method used to look for a relatively optimal decision-making scheme. In this method, whether a scheme is good or bad is determined through comparing the square sums of the dierences between the evaluated indices and the optimal indices. However, such \power operation" probably results in amplication or reduction of some extreme index values in decision-making results. In this paper, an improved method, based on cobweb area, is proposed. Here, an index is represented by a line drawn from the bullʹs-eye, with equal angles between adjacent lines. Then, data points are determined on the lines so that the length of a line segment represents the size of the index value. Each point is then connected in order, and a cobweb-like geometrical gure is obtained. With the proposed gure, each scheme could be evaluated by nding the area of its corresponding cobweb. The proposed model was applied in choosing the preferred software development mode of the Chana Group Oce Automation system, and its performance was then compared with that of the traditional grey target decision-making model. The comparison shows that the new model is superior to the traditional grey target model