Fuzz-Web: A Methodology Based on Fuzzy Logic for Assessing Web Sites

Authors

  • Rim Rekik REGIM: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia
  • Ilhem Kallel ISIMS: Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax

Keywords:

website quality, website ranking, fuzzy logic, Fuzz-Web system

Abstract

This paper presents a quality assessment methodology and model that measure the performance of dynamic websites. Called Fuzz-Web, a system that shows a comprehensive and natural manner of reasoning based on Multiple Criteria Decision Making process. We attempt so to use fuzzy logic as an intelligent technology, since the evaluation process is characterized by subjectivity and imprecision. Obviously, a phase of selecting appropriate evaluation criteria is necessary for the decision making process. Some tests realized on a set of Tunisian and foreign websites allow us to discuss the proposed reduced fuzzy method and then to validate the decision making result.

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Published

2013-01-01

How to Cite

Rim Rekik, & Ilhem Kallel. (2013). Fuzz-Web: A Methodology Based on Fuzzy Logic for Assessing Web Sites. International Journal of Computer Information Systems and Industrial Management Applications, 5, 11. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/207

Issue

Section

Original Articles