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Fuzzy Cognitive Maps and Weighted Classic Fuzzy Applied on Student Satisfaction Level

Authors:
Lucas Botoni de Souza
Ruan Victor Pelloso Duarte Barros
Patrick Prieto Soares
Jeferson Gonçalves Ferreira
Márcio Mendonça

Keywords: Fuzzy Cognitive Maps; Quantitative Analysis; Level of Satisfaction; Operational Research; Weighted Classic Fuzzy.

Abstract:
This research aims to develop a Fuzzy Cognitive Map (FCM) and Weighted Classic Fuzzy (WCF) for the satisfaction level of students at Federal Technological University of Parana, Campus Cornélio Procópio (UTFPR-CP). The FCM combines aspects of other intelligent techniques. This tool has inference capacity through concepts and causal relations among them (the influence level among the variables of the model). Its development begins with the determination of the possible areas that would affect or fit as indicators for satisfaction level in UTFPR-CP. Through online forms, it was possible to quantify the influence of the following initially detected areas: professor training, structures of laboratories and classrooms, habitation, library and cleaning. In general, educational institutions do not have tools to provide a critical analysis of its quality. This work proposes a tool for improving the institution in a few years. Thus, with the development of the FCM model, it was possible to identify the positive and negative points that affect the satisfaction level in UTFPR-CP. Finally, to validate the results a WCF was used with same structure and heuristic for comparison with FCM.

Pages: 60 to 65

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-555-5

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017