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http://dl.ifip.org/db/conf/ifip12/aiai2009/AlexopoulosWKT09.pdf
A Fuzzy Knowledge-based Decision Support System for Tender Call Evaluation Panos Alexopoulos, Manolis Wallace, Konstantinos Kafentzis, and Aristodimos Thomopoulos 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.
https://link.springer.com/chapter/10.1007/978-1-4419-0221-4_8
Alexopoulos P., Wallace M., Kafentzis K., Thomopoulos A. (2009) A Fuzzy Knowledge-based Decision Support System for Tender Call Evaluation. In: Iliadis, Maglogiann, Tsoumakasis, Vlahavas, Bramer (eds) Artificial Intelligence Applications and Innovations III. AIAI 2009. IFIP International Federation for Information Processing, vol 296.Cited by: 4
https://www.academia.edu/886100/A_Fuzzy_Knowledge-based_Decision_Support_System_for_Tender_Call_Evaluation
A Fuzzy Knowledge-based Decision Support System for Tender Call Evaluation
https://www.sciencedirect.com/science/article/pii/S0301479704001483
A preliminary phase of developing a knowledge-based decision support system following the approach proposed is the selection of the experts to involve. This choice is crucial because the knowledge base is founded on the experts' heuristics, their logic, their opinions and intuitions.Cited by: 167
https://onlinelibrary.wiley.com/doi/10.1111/jep.13302
Fuzzy logic–based clinical decision support system for the evaluation of renal function in post‐Transplant Patients. ... This work proposes an FL‐based CDSS for the evaluation of renal function in posttransplant patients. ... Among the knowledge‐based systems, there are the fuzzy logic (FL)‐based CDSS. ...Author: Giovanni Improta, Valeria Mazzella, Donatella Vecchione, Stefania Santini, Maria Triassi
http://onlinelibrary.wiley.com/doi/10.1111/rec.12325/abstract
May 11, 2016 · The fuzzy rule-based system translates expert knowledge of restoration specialists and forest managers into a set of simple logic rules that integrate information on individual indicators into more general evaluation criteria.
https://www.emerald.com/insight/content/doi/10.1108/K-01-2017-0020/full/html
Jun 04, 2018 · Knowledge based decision support system for appraisement of sustainable partner under fuzzy cum non-fuzzy information Anoop Kumar Sahu (Department of Mechanical Engineering, J.K. Institute of Engineering , Bilaspur, India )Cited by: 1
https://www.researchgate.net/publication/288832508_Fuzzy_logic_based_decision_support_system_for_component_security_evaluation
Fuzzy logic based decision support system for component security evaluation Article (PDF Available) in International Arab Journal of Information Technology · January 2016 with 140 Reads
https://www.sciencedirect.com/science/article/pii/S0263224114002450
Fuzzy Logic has been identified as a substantial soft computing tool that is used to efficiently model decision support systems . Hence, this research proposes a fuzzy logic driven decision support system for the appraisal of academic staff performance in institutions of higher learning.Cited by: 9
https://arxiv.org/pdf/1004.3260
Decision Support Systems (DSS) play a great important role in order to ensure the confidentiality, greater transparency and healthy competition in tendering. DSS are computer-based systems that assist business and organizational in complex decision-making environment. According to Marakas [32], DSS manage and process
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