The importance of research for rapid and automated model construction of decision support systems is prominent and recognized. In the literature, research on model construction methods has been conducted using either component-based approaches or artificial intelligent approaches; however, these methods are usually incapable of handling dynamic constrains under different situations. To obtain s...

This paper presents the development of a model based decision support system with a case study on solving the supplier selection problem in a chemical processing industry. For the evaluation and selection of supplier, the analytical hierarchy process (AHP) and grey relational analysis (GRA) were used. The intention of the study is to propose an appropriate platform for process industries in ...

in recent decades, information technology systems and tools play an essential role in improving the method for responding the requests from managers. decision support system as an important tool has the fundamental role in organizations. in the team of software project allocating people to tasks has a noticeable effect on profits. a decision support system can help managers in making appropriat...

intelligent use of data and information in a large company for management decisions are the essential requirements of all managers. in addition, the necessity of paying attention to the environmental competitiveness increases the importance of responding to these needs. information systems and tools of it in recent decades have played a special role in increasing the respond to these demands. o...

Case-based reasoning and multicriteria decision making have common grounds: they are both problem solving methodologies; both involve the selection, ranking and aggregation of best alternatives and provide tools for evaluating the alternatives in respect to multiple attributes or criteria. Each of the two methodologies has its own strengths and weaknesses. By integrating the two methodologies, ...