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Simplified interval-valued intuitionistic fuzzy sets with intuitionistic fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2016
There has been a growing interest and activity in the field of interval-valued intuitionistic fuzzy sets (IVIFSs). It is generally useful to express the variations of the membership function and the non-membership function in fuzzy circumstances. However, the IVIFS is a little bit complicated on expressions and calculations. To overcome this limitation,
Ren, Peijia, Xu, Zeshui, Lei, Qian
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The theory of intuitionistic fuzzy sets based on the intuitionistic fuzzy special sets

Information Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan, Xue-hai   +2 more
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Intuitionistic Fuzzy Set Theories

2013
In real-life management situations, there exist a great deal of fuzziness. In 1965, Zadeh [1] firstly introduced the concept of the fuzzy set, which is an effective tool to deal with fuzziness. However, the fuzzy set employs single index (i.e., membership degree or function) to describe the two states of the support and opposition simultaneously ...
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INTUITIONISTIC FUZZY MANDELBROT SET

Fractals
In recent years, the study of fuzzy sets has expanded to include various generalizations, such as intuitionistic fuzzy sets, which provide a richer framework for handling uncertainty. Despite significant progress, there remains a gap in understanding how these generalizations impact well-known mathematical constructs like the Mandelbrot set. This paper
ANURAG KUMAR, L. BHASKAR
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Generalized intuitionistic fuzzy rough sets based on intuitionistic fuzzy coverings

Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Older adult participation in cancer clinical trials: A systematic review of barriers and interventions

Ca-A Cancer Journal for Clinicians, 2021
Mina S Sedrak   +2 more
exaly  

SARS-CoV-2 variants, spike mutations and immune escape

Nature Reviews Microbiology, 2021
William T Harvey   +2 more
exaly  

Deep neural networks for the evaluation and design of photonic devices

Nature Reviews Materials, 2020
Jiaqi Jiang   +2 more
exaly  

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