Fuzzy analysis of users´ interest in computing using Fril

Utilizes Fril (Fuzzy Relational Inference Language) to develop a logic program to analyze the validity and reliability of a 20-item questionnaire that measures users´ attitudes and perceptions of the usefulness of the Internet. Fril is a logic programming language with a capability of uncertainty management based on mass assignment theory. The questionnaire is a five-point Likert scale, with 1 indicating poor attitude and perception and 5 indicating good attitude and perception. Positive attitudes and high perception of usefulness have been shown to correlate highly with individuals using and benefiting from technology. To the extent that a great amount of resources are being spent on developing and delivering more instructional and training materials on the Web, a better understanding of who benefits from technology-based instruction is crucial. The results of this show that the questionnaire is valid and reliable, and that fuzzy analysis techniques can be used successfully for analysis of data of this sort. Further fine tuning of the analysis, thus generating a better questionnaire, is easily possible with the fuzzy tools