A type-2 fuzzy logic system approach to train Honduran coffee cuppers
Honduran coffee is one of the best coffees worldwide. Its cultivation and subsequent quality control require the use of expert cuppers. In this work a fuzzy logic type-2 expert system is used as a tool to obtain the quality level of a Honduran cup of coffee based on subjective criteria used by cuppers. A case is shown to prove the effectiveness of the expert system. The system was tested in more than 500 cases of which 97% of the time cuppers agreed with the results of the expert system.
With the development of information technology, increasing prevalence of the internet, the emergence of Web 2.0 has allowed users to access an increasing amount of information on the Web. In the present social environment, libraries play the role as an information provider. This study based on technology acceptance model and innovation diffusion theory to survey Library 2.0 applications in Taiwan's university libraries. Results showed that most of the respondents hold a positive attitude toward Library 2.0, and their attitude has positive influence on their intention to use them. Besides, if perceived usefulness, perceived ease of use, trialibility, and observability can be emphasized during promotion of the systems, users' intention to use the systems can be effectively increased. Through the above findings, this study attempted to provide a reference for libraries planning to introduce Library 2.0 in the future.