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Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making
- Source :
- Archives of Control Sciences, Vol 27, Iss 3, Pp 365-395 (2017)
- Publication Year :
- 2017
- Publisher :
- Walter de Gruyter GmbH, 2017.
-
Abstract
- In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.
- Subjects :
- dual hesitant Pythagorean fuzzy Hamacher hybrid average (DHPFHHA) operator
0209 industrial biotechnology
Control and Optimization
02 engineering and technology
computer.software_genre
Fuzzy logic
020901 industrial engineering & automation
dual hesitant Pythagorean fuzzy Hamacher hybrid geometric (DHPFHHG) operator
0202 electrical engineering, electronic engineering, information engineering
Multiple attribute
Mathematics
lcsh:T58.5-58.64
lcsh:Information technology
lcsh:Mathematics
Pythagorean theorem
dual Pythagorean hesitant fuzzy values
multiple attribute decision making (MADM)
lcsh:QA1-939
Dual (category theory)
Algebra
Control and Systems Engineering
Modeling and Simulation
020201 artificial intelligence & image processing
Data mining
power aggregation operators
computer
Subjects
Details
- ISSN :
- 23002611
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Archives of Control Sciences
- Accession number :
- edsair.doi.dedup.....9693742684d400bcf1dabc02f1be48c6