Improving the usability and accessibility of Fuzzy Logic software systems with a web-based approach

نویسندگان

  • Craig Knott
  • Jon Garibaldi
چکیده

This project was both a practical implementation of an online fuzzy logic software system, and a research piece into the optimal design of a fuzzy logic system, and how fuzzy logic can be best introduced to novices of the field. This report details the implementation of an online system for the creation and evaluation of fuzzy logic sets and systems, using mostly JavaScript and JQuery, with an R back end to deal with the processing requirements of fuzzy logic (the project having around 5,000 lines of code in total). In the end, it was found that the majority of participants (95%) much preferred a graphical user interface when working with fuzzy sets and systems, due to the ability to easily visualise sets and how these interfaces can be designed to aid the user. Words in text 19,552 Calculated with the TeXCount web service http://app.uio.no/ifi/texcount/online.php

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تاریخ انتشار 2014