Our thesis is that computing with words needs to account for the uncertainties associated with the meanings of words, and that these uncertainties require using type-2 fuzzy sets. Doing this leads to a proposed architecture for making it judgments by means of computing with words, i.e., to a perceptual computer-the Per-C. The Per-C includes an encoder, a type-2 rule-based fuzzy logic system, and a decoder. It lets all human-computer interactions be performed using words. In this paper, a quantitative language is established for the Per-C, and many open issues about the perceptual computer are described.
@article{bwmeta1.element.bwnjournal-article-amcv12i3p325bwm,
author = {Mendel, Jerry},
title = {An architecture for making judgments using computing with words},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {12},
year = {2002},
pages = {325-335},
zbl = {1062.68125},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv12i3p325bwm}
}
Mendel, Jerry. An architecture for making judgments using computing with words. International Journal of Applied Mathematics and Computer Science, Tome 12 (2002) pp. 325-335. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv12i3p325bwm/
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