At the beginning, this paper briefly introduces the evolution of information system development approach (ISDA), which can be divided into five categories: life cycle approach (LCA), structured approach (SA),prototypi...At the beginning, this paper briefly introduces the evolution of information system development approach (ISDA), which can be divided into five categories: life cycle approach (LCA), structured approach (SA),prototyping approach (PA), object oriented approach (OOA) and soft system methodology (SSM). After we make a comparative analysis of them,the main factors resulting in failure of information system development (ISD) in China are explained in detail. Consequently, such an assertion that false selection of unsuitable ISDA is the most important reason leading to unsuccessful ISD is reached. In order to avoid it, based on the fuzzy decision making theory, this article demonstrates a method of evaluating alternative ISDAes to select relatively satisfactory one out of them, for which a fuzzy synthetic discrimination model is created. In particular, a typical summarized evaluation index system is established, too. Finally, the application of the above method to a practical information system (IS) is illustrated.展开更多
文摘At the beginning, this paper briefly introduces the evolution of information system development approach (ISDA), which can be divided into five categories: life cycle approach (LCA), structured approach (SA),prototyping approach (PA), object oriented approach (OOA) and soft system methodology (SSM). After we make a comparative analysis of them,the main factors resulting in failure of information system development (ISD) in China are explained in detail. Consequently, such an assertion that false selection of unsuitable ISDA is the most important reason leading to unsuccessful ISD is reached. In order to avoid it, based on the fuzzy decision making theory, this article demonstrates a method of evaluating alternative ISDAes to select relatively satisfactory one out of them, for which a fuzzy synthetic discrimination model is created. In particular, a typical summarized evaluation index system is established, too. Finally, the application of the above method to a practical information system (IS) is illustrated.
