- Newsgroups: comp.ai.fuzzy
- From: Joe Pfeiffer <pfeiffer@cs.nmsu.edu>
- Subject: Thomas' Fuzziness and Probability
- Date: 30 Jul 2001 13:21:12 -0600
- Organization: NMSU Computer Science
I'm currently reading the book mentioned above; I'm wondering about
something...
He attempts to define the membership function of a set by using
what he calls ``calibrational propositions'' -- the idea is that if
you ask 70 people if John is tall, and 70 of them say ``yes,'' then
mu(tall) = .7. While this seems to do a good job of capturing common
word usage, it's not at all clear to me that it captures the fuzzy
behavior of the ``tall'' set; it seems probabilistic rather than
fuzzy.
So, what are other people's reactions?
--
Joseph J. Pfeiffer, Jr., Ph.D. Phone -- (505) 646-1605
Department of Computer Science FAX -- (505) 646-1002
New Mexico State University http://www.cs.nmsu.edu/~pfeiffer
SWNMRSEF: http://www.nmsu.edu/~scifair