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Issue:A new approach for an intuitionistic fuzzy Sugeno integral for decision making

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Title of paper: A new approach for an intuitionistic fuzzy Sugeno integral for decision making
Gabriela E. Martínez
Tijuana Institute of Technology, Tijuana, Mexico
Patricia Melin
Tijuana Institute of Technology, Tijuana, Mexico
Oscar Castillo
Tijuana Institute of Technology, Tijuana, Mexico
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 25 (2019), Number 2, pages 41–52
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Abstract: In this paper, an extension of the Sugeno integral using intuitionistic fuzzy sets is presented. The proposed method enables the calculation of the Sugeno integral for combining multiple source of information with a degree of membership and non-membership using intuitionistic fuzzy sets. The proposed method is used as aggregation operator to combine the modules output of a modular neural network for face recognition. In this paper, the focus is on aggregation operator that use measures with intuitionistic fuzzy sets, in particular the Sugeno integral. The performance of the proposed method is compared with other aggregation operators, such as the traditional Sugeno integral using the ORL database.
Keywords: Aggregation operators, Sugeno integral, Modular neural networks, Intuitionistic fuzzy sets
AMS Classification: 03E72
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