Abe Mamdani: A Pioneer of Soft Artificial Intelligence.

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Combining Experimentation and Theory, 2012, 271 pp. 49 - 60
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By means of a careful analysis of early papers by Zadeh on fuzzy rules, we suggest an explanation of why Mamdani came up with his way of modelling fuzzy control rules. And then we recall the semantics of fuzzy rules so as to position Mamdani,s rules in possibility theory. We also explain the links between (probabilistic) conditionals, as well as association rules, and Mamdani’s rules. Finally, we comment on Mamdani’s constant taste for applied Artificial Intelligence (AI), while the whole field of fuzzy rule-based systems he created, and viewed as part of AI, eventually moved away from it.
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