Photonic-crystal fibre modeling using fuzzy classification approach

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TypeArticle
Journal titleInternational Journal on Recent Trends in Engineering & Technology (IJRTET)
Volume6
Issue2
Pages100104; # of pages: 5
Subjectoptical fiber design; photonic crystal fiber; chromatic dispersion; fuzzy classification; multicriteria
AbstractIn 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.
Publication date
Linkhttp://searchdl.org/index.php/journals/view/420
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedYes
NPARC number19663209
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Record identifierd45b526b-91fe-4dd6-bda1-6ab644790ecb
Record created2012-03-20
Record modified2016-05-09
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