Fuzz-Web: A Methodology Based on Fuzzy Logic for Assessing Web Sites
Keywords:
website quality, website ranking, fuzzy logic, Fuzz-Web systemAbstract
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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Copyright (c) 2023 International Journal of Computer Information Systems and Industrial Management Applications

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