Multiattribute decision making using novel score function of interval-valued intuitionistic fuzzy values and the means and the variances of score matrices
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Publication:6066188
DOI10.1016/j.ins.2021.07.055OpenAlexW3186058694MaRDI QIDQ6066188
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Publication date: 12 December 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.07.055
Management decision making, including multiple objectives (90B50) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Cites Work
- TOPSIS method based on the connection number of set pair analysis under interval-valued intuitionistic fuzzy set environment
- An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights
- A new multiattribute decision making method based on multiplication operations of interval-valued intuitionistic fuzzy values and linear programming methodology
- Intuitionistic fuzzy sets
- Interval valued intuitionistic fuzzy sets
- Multiattribute decision making using probability density functions and transformed decision matrices in interval-valued intuitionistic fuzzy environments
- Multiattribute decision making based on interval-valued intuitionistic fuzzy values, score function of connection numbers, and the set pair analysis theory
- A new distance measure of interval-valued intuitionistic fuzzy sets and its application in decision making
- Multiattribute decision making based on the binary connection number in set pair analysis under an interval-valued intuitionistic fuzzy set environment
- An information-based score function of interval-valued intuitionistic fuzzy sets and its application in multiattribute decision making
- Multiattribute decision making based on \(U\)-quadratic distribution of intervals and the transformed matrix in interval-valued intuitionistic fuzzy environments
- Fuzzy sets
- Unnamed Item
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