An agile approach to logical network analysis in decision support systems

A generalized label-correcting (GLC) approach is developed to analyze the models represented with logical networks and is implemented through the World Wide Web regardless of the geographical constraints and platforms used.

Abstract

Decision support system (DSS) is an interactive computer-based system, which helps decision makers utilize data and models to solve unstructured problems. Current business is undergoing a major paradigm shift that is taking it from traditional management into a world of agility. An agile corporation should be able to rapidly respond to the market changes. Solution approaches to quickly support decision making and model analyzing are crucial in business management. The approaches may support solutions for the decision makers who are geographically separated and operate on differing computer platforms. In this paper, a generalized label-correcting (GLC) approach is developed to analyze the models represented with logical networks. This GLC approach is agile because by combining various operators and comparators, different types of paths in the networks can be solved with one algorithm for different values of the initial node. The main contribution of this paper is to provide an approach in analyzing the logical networks, and the approach is implemented through the World Wide Web (WWW) regardless of the geographical constraints and platforms used.