Εργαστήριο Γνώσης και Αβεβαιότητας

Knowledge and Uncertainty Research Laboratory

A Fuzzy Knowledge-based Decision Support System for Tender Call Evaluation

[conference]


Full reference

P. Alexopoulos, M. Wallace, K. Kafentzis, A. Thomopoulos, A Fuzzy Knowledge-based Decision Support System for Tender Call Evaluation, Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations, AIAI 2009


Abstract

In the modern business environment, the capability of an enterprise to generate value from its business knowledge influences in an increasingly important way its competitiveness. Towards this direction, knowledge-based systems can be a very effective tool for enhancing the productivity of knowledge workers by providing them with advanced knowledge processing capabilities. In this paper we describe such a system which utilizes organizational and domain knowledge in order to support consultants in the process of evaluating calls for tender.