Cart (Loading....) | Create Account
Close category search window
 

A philosophical study on meaning and fuzzy sets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Joronen, T.T. ; Metso Autom., Tampere, Finland

This article reaches the meaning of fuzzy sets from a new philosophical point of view. The topic arises from authors practical control cases in which a simultaneous handling for fuzziness and uncertainty is need. The fuzzy sets are approached from semantics, the meaning of language. The fuzzy sets are handled philosophically as textual expressions more than data extractions. First, the problem of the meaning of a word is studied from several philosophical point of views. The meaning is concluded to be incommensurable. The meaning articulation paradigm, conducted from philosophies of Wittgenstein and Bergson in a previous study is applied to illustrate the semantics of fuzzy sets. According to the paradigm, the aspects of any use of a tool (like fuzzy sets) are; being, change and meaning. These aspects actually coexist, as separate degrees of freedom. There for the commensurability assumption of fuzzy sets may be reconsidered. A solution is suggested by applying all three aspects (being, change and meaning) to a case of using fuzzy sets. These technical systems, in which the fuzzy sets are assumed to be subcommensurable are sketched. Subcommensurability means a situation, in which the certainty of commensurability is known locally for some a priori extent.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

25-29 July 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.