thanks for the laugh, I was an FAE for Motorola back then and I remember when we had to promote this to customers, give out dev boards - or sell them. I dont recall any customer for micros ever caring about it at all. These days in the semi industry we would still be tracking the status that "design win" and your development board all the way to the landfill.
Examples of consumer applications of fuzzy logic often seemed to be better served with linear or analog solutions (in the winter, the cooler the house is, the harder you run the furnace and the air blowers). Deciding between low, medium, and high seemed artificial. Some examples do survive (dishwashers offer light, normal, and heavy wash options). Certainly the observations about computing power are also quite relevant - the fuzzy logic decisions typically are trivial compared with the computing power that is running idle.
In grad school at Berkeley in the mid '80s, I was in Prof. Zadeh's Expert and Knowledge-Based Systems seminar for a few years, and he never once mentioned FL unless someone brought it up. In private, he would actively promote its' application to IR (i.e., search), even if it didn't quite fit. At one time (I'm too busy to check), there were at least two proper academic journals dedicated to FL, and now decades later there is at least an institutional echo of the movement in the Berkeley Initiative in Soft Computing (http://www-bisc.cs.berkeley.edu/BISCProgram/default.htm), which seems a bit like the Hair Club for Persians. Prof. Zadeh was a great guy, in the cosmopolitan/humanitarian/uber-nerd tradition.
My understanding of fuzzy logic is that it was a way to have a controller that did not have enough horse power, do the job. Since almost all of the devices today have more than enough power to do the job, fuzzy logic doesn't have much of a use.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.