Thursday 28th of March 2024
 

Integrating fuzzy case-based reasoning and particle swarmoptimization to support decision making


Nesrine Ben Yahia, Narjès Bellamine and Henda Ben Ghezala

Case-based reasoning (CBR) is a useful technique to support decision making (DM) by learning from past experiences. It solves a new problem by retrieving, reusing, and adapting past solutions to old problems that are closely similar to the current problem. In this paper, we combine fuzzy logic with case-based reasoning to identify useful cases that can support the DM. At the beginning, a fuzzy CBR based on both problems and actors similarities is advanced to measure usefulness of past cases. For efficiency, we need an optimal design of membership functions of fuzzy sets. Then, we rely on a meta-heuristic optimization technique i.e. Particle Swarm Optimization to adjust the parameters of the inputs and outputs fuzzy membership functions.

Keywords: Decision Making Support, Case-Based Reasoning Fuzzy Logic, Particle Swarm Optimization.

Download Full-Text


ABOUT THE AUTHORS

Nesrine Ben Yahia
Nesrine BEN YAHIA is currently preparing her PhD thesis and teaching at the National School of Computer Sciences (Tunisia). She studied computer sciences at National School of Computer Sciences (Tunisia) where she obtained the Engineering degree in 2008 and the Master degree in 2009. Her research interests include decision making, computer supported collaborative work and knowledge management.

Narjès Bellamine
Dr. Narjès BELLAMINE is an associate professor of computer science at the University of Manouba, Tunisia, and a researcher in RIADI-GDL laboratory of the national school of computer sciences. Dr. Bellamine received her engineering diploma and master’s degree from ENSEEIHT Toulouse and her PhD from University of Toulouse 1, France. Her main research include complexity theory, agent-based modeling and simulation of cooperative systems, computer supported collaborative work and groupware development.

Henda Ben Ghezala
Prof. Henda Ben Ghezala is a Professor of Computer Science at the University of Manouba, Tunisia. She is Director of the RIADI -GDL laboratory of the National School of Computer Sciences. Her research interests lie in the areas of information modeling, databases, temporal data modeling, object-oriented analysis and design, requirements engineering and specially change engineering, method engineering.


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »