A convergence of Internet and fuzzy logic technologies provides an opportunity for experts and end users to collaborate in developing, refining, and testing knowledge-based systems. Internet technology removes geographical and time-based restraints, and fuzzy rule bases are easier to understand and maintain. This paper describes an architecture and a prototype for developing, delivering, and maintaining expert systems on the World Wide Web.The system's collaboration components allowed experts to monitor user consultations remotely, view summaries of responses, and trace-rule inference chains. Experts and users participated in real-time chat sessions or posted questions on extended discussion lists. The system allowed experts and users to experiment with real-time enhancements of knowledge bases. Fuzzy rules resulted in semantically richer knowledge bases that flexibly handled complex and uncertain knowledge. A fuzzy inference engine supported hedges and partial matching to assist users in applying knowledge and exploring Web-based data.