Abe Mamdani: A Pioneer of Soft Artificial Intelligence.

Publisher:
Springer
Publication Type:
Chapter
Citation:
Combining Experimentation and Theory, 2012, 271 pp. 49 - 60
Issue Date:
2012
Full metadata record
Files in This Item:
Filename Description Size
10.1007%2F978-3-642-24666-1_4.pdfPublished version217.8 kB
Adobe PDF
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.
Please use this identifier to cite or link to this item: