TOPSIS-based entropy measure for intuitionistic trapezoidal fuzzy sets and application to multi-attribute decision making
DOI10.3934/mbe.2020301zbMath1470.91095OpenAlexW3059853799WikidataQ101116903 ScholiaQ101116903MaRDI QIDQ2047833
Yefu Zheng, Hongzhang Chen, Jun Xu
Publication date: 4 August 2021
Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/mbe.2020301
entropyTOPSISmulti-attribute decision makingintuitionistic trapezoidal fuzzy numbersunknown attribute weight
Decision theory (91B06) Management decision making, including multiple objectives (90B50) Mathematical economics and fuzziness (91B86)
Related Items (2)
Cites Work
- Unnamed Item
- Some new entropy measures for interval-valued intuitionistic fuzzy sets based on distances and their relationships with similarity and inclusion measures
- Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
- TOPSIS method based on the connection number of set pair analysis under interval-valued intuitionistic fuzzy set environment
- Intuitionistic fuzzy sets
- Interval valued intuitionistic fuzzy sets
- Entropy, distance measure and similarity measure of fuzzy sets and their relations
- A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory
- Entropy for intuitionistic fuzzy sets.
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