16-17 May 2019 • Sofia, Bulgaria

Submission: 21 February 2019Notification: 11 March 2019Final Version: 1 April 2019

Issue:Data-based approximation of intuitionistic fuzzy target sets

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Title of paper: Data-based approximation of intuitionistic fuzzy target sets
Ray-Ming Chen
Department of Computer Science, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Martenstraße 3, 91058 Erlangen, Germany
ray.chenAt sign.pngfau.de
Published in: "Notes on IFS", Volume 20, 2014, Number 2, pages 85-93
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Abstract: Approximation is an important process for one to know or recognize a crisp target set. Data reasoning based on an information system is a common source for such approximation. I will introduce how to characterize an intuitionisitc fuzzy target set via a classifier induced by intuitionistic fuzzy sets based on an information system, in particular, a messy information system. I will also show how to restore the data of a messy information system.
Keywords: Intuitionistic fuzzy target set, Approximation, Messy information system, Data restoration.
AMS Classification: 03E72
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  3. Pawlak, Z., Rough sets, International Journal of Computer and Information Sciences, Vol. 11, 1982, No. 5, 341–356.
  4. Pawlak, Z., Rough Sets: Theoretical Aspects of Reasoning about Data, Springer Science+Business Media, Dordrecht, 1991.

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