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Traditionally, fuzzy logic (FL) has been viewed in the artificial intelligence (AI) community as an approach for managing uncertainty. In the 1990s, however, fuzzy logic has emerged as a paradigm for approximating a functional mapping. This complementary modern view about the technology offers new insights about the foundation of fuzzy logic, as well as new challenges regarding the identification of fuzzy models. In this paper, we will first review some of the major milestones in the history ofdoi:10.1109/69.755624 fatcat:covmnib2a5amdeppnkzffawrnq