Limit properties and derivative operations in the metric space of intuitionistic fuzzy numbers

Zhenghai Ai (), Zeshui Xu () and Qian Lei ()
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Zhenghai Ai: Leshan Normal University
Zeshui Xu: Sichuan University
Qian Lei: PLA University of Science and Technology

Fuzzy Optimization and Decision Making, 2017, vol. 16, issue 1, No 4, 87 pages

Abstract: Abstract Intuitionistic fuzzy numbers (IFNs) are a useful tool to depict the uncertain information in real life. Based on IFNs, the intuitionistic fuzzy calculus (IFC) has been put forward recently. To further develop the IFC theory, in this paper, we investigate the limit properties of IFCs, and study the intuitionistic fuzzy infinitesimals and their orders. We also discuss the continuity, the derivatives and the differentials of intuitionistic fuzzy functions in detail, and reveal their relationships. Additionally, we define the metric space of the IFNs, based on which, a series of desirable results are obtained. These results are similar to the ones in the classical calculus.

Keywords: Intuitionistic fuzzy set; Intuitionistic fuzzy calculus; Metric space; Intuitionistic fuzzy infinitesimal; Intuitionistic fuzzy functions (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10700-016-9239-7

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