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Pythagorean Fuzzy Maclaurin Symmetric Mean Operators in Multiple Attribute Decision Making
- Source :
- International Journal of Intelligent Systems. 33:1043-1070
- Publication Year :
- 2017
- Publisher :
- Hindawi Limited, 2017.
-
Abstract
- The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation operator used in modern information fusion theory, which is suitable to aggregate numerical values. The prominent characteristic of the MSM operator is that it can capture the interrelationship among the multiinput arguments. In this paper, we extend MSM to Pythagorean fuzzy environment to propose the Pythagorean fuzzy Maclaurin symmetric mean and Pythagorean fuzzy weighted Maclaurin symmetric mean operators. Then, some desirable properties and special cases of these operators are discussed in detail. Finally, a numerical example is provided to illustrate the feasibility of the proposed methods and deliver a comparative analysis.
- Subjects :
- 0209 industrial biotechnology
Aggregate (data warehouse)
Pythagorean theorem
02 engineering and technology
Type (model theory)
Fuzzy logic
Theoretical Computer Science
Human-Computer Interaction
Algebra
020901 industrial engineering & automation
Operator (computer programming)
Artificial Intelligence
Maclaurin symmetric mean
0202 electrical engineering, electronic engineering, information engineering
Calculus
020201 artificial intelligence & image processing
Generalized mean
Software
Mathematics
Multiple attribute
Subjects
Details
- ISSN :
- 08848173
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- International Journal of Intelligent Systems
- Accession number :
- edsair.doi...........c6ddfa8c69c5ab1686df664db2dfcdc5