By Topic

Perception-Based Logical Deduction as Alternative Approximate Reasoning Method

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
$33 $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)
V. Novak ; Inst. for Res. & Applications of Fuzzy Modeling, Ostrava Univ.

This paper is a contribution to the approximate reasoning theory. We present an alternative to the well known Mamdani rule, which we call the perception-based logical deduction. The leading assumption is that fuzzy IF-THEN rules are interpreted as genuine linguistic sentences consisting of the, so called, evaluating linguistic expressions. Evaluating expressions determined on the basis of an observation in a concrete context are called perceptions. The latter and sets of fuzzy IF-THEN rules, called linguistic descriptions, are used in derivation of a conclusion. The perception-based deduction is demonstrated to behave in accordance with human way of reasoning. A lot of simulations as well as real applications corroborate that it works very well and is easy for the user because of natural language comprehension

Published in:

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.

Date of Conference:

25-25 May 2005