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Multcriteria PCF design: an accurate photonic crystal fiber design tool

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1109/CNSR.2009.46
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FormatText, Article
ConferenceSeventh Annual Communications Networks and Services Research Conference, May 11-13, 2009, Moncton, New Brunswick, Canada
Subjectmulticriteria MCDA; PCF fibers; design; software
Abstract
Summary form only given. In recent years there has been a major development in optical communications and a new generation of fibers was introduced. These fibers, called Photonic Crystal Fibers (PCF) have unusual propagation properties. This paper presents multicriteria PCF design tool, which is an accurate PCF design based on multicriteria classification. This method combines the deductive and the inductive learning and it is introduced for the first time in the field of optical fibers. The multicriteria decision analysis (MCDA) makes it possible to evaluate the optical proprieties of PCFs by determining the resemblance of a PCF fiber to specified PCF category. The MCDA avoids recourse to classical distances and makes it possible to use quantitative and/or qualitative criteria. Moreover, it defeats some difficulties encountered when data are expressed in different units. These advantages allow the new multicriteria classification method to be employed easily to the diagnosis and to the design of photonic-crystals fibers.
Publication date
PublisherIEEE
In
  • Proceedings of the Seventh Annual Communications Networks and Services Research Conference (CNSR 2009) (19 May 2009): 252–256.
LanguageEnglish
Peer reviewedYes
NRC publication
This is a non-NRC publication

"Non-NRC publications" are publications authored by NRC employees prior to their employment by NRC.

NPARC number15261134
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Record identifier04170484-0b30-48c3-a7c9-d00a2f9a56db
Record created2010-06-21
Record modified2023-11-09
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