Decision support system based on complex \(q\)-rung orthopair fuzzy rough Hamacher aggregation operator through modified EDAS method
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Publication:6099067
DOI10.1155/2022/5437373zbMath1518.91057OpenAlexW4311935915MaRDI QIDQ6099067
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Publication date: 19 June 2023
Published in: Journal of Function Spaces (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2022/5437373
Cites Work
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- Generalized OWA aggregation operators
- Rough sets: some extensions
- Operation properties and \(\delta \)-equalities of complex fuzzy sets
- Aggregation of fuzzy opinions - an axiomatic approach
- Social choice axioms for fuzzy set aggregation
- Fuzzy multiattribute decision making based on transformation techniques of intuitionistic fuzzy values and intuitionistic fuzzy geometric averaging operators
- A novel similarity measure between intuitionistic fuzzy sets based on the centroid points of transformed fuzzy numbers with applications to pattern recognition
- Intuitionistic fuzzy sets. Theory and applications
- On generalized Hamacher families of triangular operators
- Aggregation operators and VIKOR method based on complex q-rung orthopair uncertain linguistic informations and their applications in multi-attribute decision making
- A new decision-making model using complex intuitionistic fuzzy Hamacher aggregation operators
- Complex fuzzy power aggregation operators
- The orthogonality between complex fuzzy sets and its application to signal detection
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- Some geometric aggregation operators based on intuitionistic fuzzy sets
- Rough sets
- Fundamental Properties of Pythagorean Fuzzy Aggregation Operators
- Intuitionistic fuzzy Hamacher aggregation operators and their application to multiple attribute decision making
- Linguistic variable, hedges and several distances on complex fuzzy sets
- Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set
- Fuzzy sets
- Using rough sets with heuristics for feature selection
- TOPSIS method for intuitionistic fuzzy multiple-criteria decision making and its application to investment selection
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