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

by Amadou Diabagate, Abdellah Azmani, Mohamed El Harzli
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 14
Year of Publication: 2014
Authors: Amadou Diabagate, Abdellah Azmani, Mohamed El Harzli
10.5120/17759-8892

Amadou Diabagate, Abdellah Azmani, Mohamed El Harzli . Tendering Process: Improvement of Analysis and Evaluation of Tenders based on the Use of Fuzzy Logic and Rule of Proportion. International Journal of Computer Applications. 101, 14 ( September 2014), 43-50. DOI=10.5120/17759-8892

@article{ 10.5120/17759-8892,
author = { Amadou Diabagate, Abdellah Azmani, Mohamed El Harzli },
title = { Tendering Process: Improvement of Analysis and Evaluation of Tenders based on the Use of Fuzzy Logic and Rule of Proportion },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 14 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number14/17759-8892/ },
doi = { 10.5120/17759-8892 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:41.851683+05:30
%A Amadou Diabagate
%A Abdellah Azmani
%A Mohamed El Harzli
%T Tendering Process: Improvement of Analysis and Evaluation of Tenders based on the Use of Fuzzy Logic and Rule of Proportion
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 14
%P 43-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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).

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Index Terms

Computer Science
Information Sciences

Keywords

Tendering Artificial intelligence Decision support Fuzzy logic Rule of proportion Public procurement Method of analysis and evaluation of tenders Company State e-tendering e-government dematerialization IT solutions.

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