Tendering Process: Improvement of Analysis and Evaluation of Tenders based on the Use of Fuzzy Logic and Rule of Proportion

Autor: Abdellah Azmani, Amadou Diabagate, Mohamed El Harzli
Rok vydání: 2014
Předmět:
Zdroj: International Journal of Computer Applications. 101:44-51
ISSN: 0975-8887
DOI: 10.5120/17759-8892
Popis: This paper proposes improvements concerning the analysis and the evaluation of tenders in the tendering process. At first, a new method of analysis and evaluation of tenders using the rule of proportion is proposed. Secondly, the principles of fuzzy logic are introduced in order to reconsider limits from the classical logic in the analysis and evaluation of tenders. This work is a step towards the modeling of an IT solution integrating the concepts of artificial intelligence and decision support in the context of e-government (e-tendering). General Terms Making decision, Artificial intelligent, Public procurement, Tendering, Analysis and evaluation of tenders.
Databáze: OpenAIRE