Constructing n-cell numbers by using double-side separation degrees and pattern recognition based on the maximal membership principle
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Wang, Guixiang, Shi, Peng and Messenger, Paul (2011) Constructing n-cell numbers by using double-side separation degrees and pattern recognition based on the maximal membership principle. IET Signal Processing, 5 (7). pp. 652-661. ISSN 1751-9675
Abstract
In this study, by using both the left and right separation degrees, the authors establish a method constructing fuzzy n-cell numbers to express uncertain or imprecise multi-channel digital signals. They conclude that the maximal membership method can be adopted to identify an object in some precise or certain environment. Moreover, the authors point out that the method based on the maximal membership possesses some weaknesses, and introduce the concept of p-membership function to overcome the shortcomings, thus using the maximal p-membership principle to identify an object.
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/10311 |
| DOI | 10.1049/iet-spr.2010.0089 |
| Official URL | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn... |
| Subjects | Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM) Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences |
| Keywords | ResPubID24540, fuzzy numbers, n-dimensional fuzzy vectors, pattern recognition, maximal membership principle, maximal p-membership principle |
| Citations in Scopus | 4 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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