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

  • Panos Alexopoulos
  • Manolis Wallace
  • Konstantinos Kafentzis
  • Aristodimos Thomopoulos
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 296)

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.

Keywords

Ordered Weighted Average Ordered Weighted Average Operator Knowledge Asset Consult Company Fuzzy Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Panos Alexopoulos
    • 1
  • Manolis Wallace
    • 2
  • Konstantinos Kafentzis
    • 1
  • Aristodimos Thomopoulos
    • 1
  1. 1.IMC Technologies S.A.AthensGreece
  2. 2.Department of Computer Science and TechnologyUniversity of PeloponneseGreece

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