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Intuitionistic Fuzzy Information Aggregation

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Intuitionistic Fuzzy Information Aggregation

Abstract

The fuzzy set theory has been extensively applied in various fields of modern society (Chen et al., 2005) since its introduction by Zadeh (1965) in 1960s. Central to the fuzzy set is the extension from the characteristic function taking the value of 0 or 1 to the membership function which can take any value from the closed interval [0,1]. However, the membership function is only a single-valued function, which cannot be used to express the support and objection evidences simultaneously in many practical situations.

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Authors and Affiliations

  1. Institute of Sciences, PLA University of Science and Technology, Room 2609, Building 5, No.2, Biaoying, Yudao Street, 210007, Nanjing, Jiangsu, P.R. China

    Zeshui Xu

  2. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Xiaoqiang Cai

Authors
  1. Zeshui Xu
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  2. Xiaoqiang Cai
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© 2012 Science Press Beijing and Springer-Verlag Berlin Heidelberg

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Xu, Z., Cai, X. (2012). Intuitionistic Fuzzy Information Aggregation. In: Intuitionistic Fuzzy Information Aggregation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29584-3_1

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