Interval-valued intuitionistic fuzzy soft sets and their properties

  • Authors:

  • Yuncheng Jiang;Yong Tang;Qimai Chen;Hai Liu;Jianchao Tang

  • Affiliations:

  • School of Computer Science, South China Normal University, Guangzhou 510631, PR China and State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 1001 ...;School of Computer Science, South China Normal University, Guangzhou 510631, PR China;School of Computer Science, South China Normal University, Guangzhou 510631, PR China;School of Computer Science, South China Normal University, Guangzhou 510631, PR China;School of Computer Science, South China Normal University, Guangzhou 510631, PR China

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2010

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Abstract

Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. However, it has been pointed out that classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. In this paper, the notion of the interval-valued intuitionistic fuzzy soft set theory is proposed. Our interval-valued intuitionistic fuzzy soft set theory is a combination of an interval-valued intuitionistic fuzzy set theory and a soft set theory. In other words, our interval-valued intuitionistic fuzzy soft set theory is an interval-valued fuzzy extension of the intuitionistic fuzzy soft set theory or an intuitionistic fuzzy extension of the interval-valued fuzzy soft set theory. The complement, ''and'', ''or'', union, intersection, necessity and possibility operations are defined on the interval-valued intuitionistic fuzzy soft sets. The basic properties of the interval-valued intuitionistic fuzzy soft sets are also presented and discussed.