Design Alternatives in Developing a Fuzzy Inference System for Measuring E-Readiness

Abstract:

This paper presents the design options and issues in developing a Fuzzy logic based inference system for measuring e-readiness (the investment climate) of a country. Developing such an inference system is not easy as the system should be capable of processing a large set of input parameters (indicators), necessitating an enormous Fuzzy rules base. This paper presents alternative design patterns to minimize the Fuzzy rules base.

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