| Download | - View accepted manuscript: Photonic-crystal fibre modeling using fuzzy classification approach (PDF, 659 KiB)
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| Author | Search for: Sassi, Imene; Search for: Belacel, Nabil1; Search for: Bouslimani, Yassine |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Subject | optical fiber design; photonic crystal fiber; chromatic dispersion; fuzzy classification; multicriteria |
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| Abstract | In this paper, a fuzzy classification algorithm is proposed for photonic-crystal fibres (PCF) modeling. This approach is based on fuzzy classification decisions. A training dataset composed of the most recent commercialized PCF fibers is used. Each category of fibers is defined by a set of reference patterns. The fuzzy modeling allows eliminating many problems like ones related to the strict thresholding and helps to overcome some difficulties encountered when data are expressed in different units. Typical PCFs with specific optical properties are designed using this approach. As an example, we present index-guiding fibres with manipulated chromatic dispersion using appropriate parameters. The fuzzy classification algorithm was implemented successfully and interesting optical properties of the designed PCFs were presented. |
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| Publication date | 2011-11 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 19663209 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d45b526b-91fe-4dd6-bda1-6ab644790ecb |
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| Record created | 2012-03-20 |
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| Record modified | 2020-04-21 |
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