A new interval-based method for handling non-monotonic information
Contribuinte(s) |
Proceedings of the 2014 IEEE International Conference on Fuzzy Systems |
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Data(s) |
01/01/2014
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Institute of Electrical and Electronics Engineers |
Relação |
http://dro.deakin.edu.au/eserv/DU:30070582/kerk-anewintervalbased-2014.pdf http://dro.deakin.edu.au/eserv/DU:30070582/kerk-anewintervalbased-evid-2014.pdf http://dro.deakin.edu.au/eserv/DU:30070582/kerk-evid-conffuzzieee-2014.pdf http://www.dx.doi.org/10.1109/FUZZ-IEEE.2014.6891564 |
Direitos |
2014, Institute of Electrical and Electronics Engineers |
Palavras-Chave | #coverage measure #Fuzzy ordering #fuzzy reasoning #fuzzy sets #interval-valued #monotonicity property |
Tipo |
Conference Paper |