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A new interval-based method for handling non-monotonic information

conference contribution
posted on 2014-09-04, 00:00 authored by Yi Wen Kerk, K M Tay, Chee Peng LimChee Peng Lim
The focus of this paper is on handling non-monotone information in the modelling process of a single-input target monotone system. On one hand, the monotonicity property is a piece of useful prior (or additional) information which can be exploited for modelling of a monotone target system. On the other hand, it is difficult to model a monotone system if the available information is not monotonically-ordered. In this paper, an interval-based method for analysing non-monotonically ordered information is proposed. The applicability of the proposed method to handling a non-monotone function, a non-monotone data set, and an incomplete and/or non-monotone fuzzy rule base is presented. The upper and lower bounds of the interval are firstly defined. The region governed by the interval is explained as a coverage measure. The coverage size represents uncertainty pertaining to the available information. The proposed approach constitutes a new method to transform non-monotonic information to interval-valued monotone system. The proposed interval-based method to handle an incomplete and/or non-monotone fuzzy rule base constitutes a new fuzzy reasoning approach.

History

Event

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Series

IEEE International Conference

Pagination

2178 - 2183

Publisher

Institute of Electrical and Electronics Engineers

Location

Beijing, China

Place of publication

Piscataway, N. J

Start date

2014-07-06

End date

2014-07-11

ISSN

1098-7584

ISBN-13

9781479920723

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2014, Institute of Electrical and Electronics Engineers

Title of proceedings

IEEE International Conference on Fuzzy Systems