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Linguistic interval 2-tuple power aggregation operators and their applications
- Source :
- International Journal of Computational Intelligence Systems, Vol 6, Iss 2 (2013), International Journal of Computational Intelligence Systems, Vol 6, Iss 2, Pp 381-395 (2013)
- Publication Year :
- 2013
- Publisher :
- Atlantis Press, 2013.
-
Abstract
- In this paper, we present a linguistic interval 2-tuple representation model and new linguistic interval 2-tuple aggregation operators, i.e., linguistic interval 2-tuple power average (LI2TPA) operator, linguistic interval 2-tuple weighted power average (LI2TWPA) operator and linguistic interval 2-tuple power ordered weighted average (LI2TPOWA) operator. Some desired properties of the developed operators are also studied. Moreover, we use these aggregation operators to deal with multiple attribute group decision making problems under linguistic interval 2-tuple environment. In the situations where the weighting vector of the decision makers is known, we use the LI2TWPA operator to make multiple attribute group decision. In the situations where the weighting vector of the decision makers is unknown, we use the LI2TPOWA operator to deal with multiple attribute group decision making. A numerical example is provided to show the effectiveness of our method.
- Subjects :
- General Computer Science
Group (mathematics)
Linguistic interval 2-tuple power ordered weighted average (LI2TPOWA) operator
Linguistic interval 2-tuple weighted power average (LI2TWPA) operator
Interval (mathematics)
Linguistics
lcsh:QA75.5-76.95
Weighting
Group decision-making
Multiple attribute group decision making
Linguistic interval 2-tuple
Computational Mathematics
Operator (computer programming)
lcsh:Electronic computers. Computer science
Tuple
Representation (mathematics)
Linguistic interval 2-tuple power average (LI2TPA) operator
Weighted arithmetic mean
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 18756883
- Volume :
- 6
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- International Journal of Computational Intelligence Systems
- Accession number :
- edsair.doi.dedup.....9bb50c8b1b3e189932bc9106b7e55c86