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A novel EDAS based method for multiple attribute group decision making with Pythagorean 2-tuple linguistic information
- Source :
- Technological and Economic Development of Economy (2020), Technological and Economic Development of Economy; Vol 26 No 6 (2020); 1125-1138
- Publication Year :
- 2020
- Publisher :
- Vilnius Gediminas Technical University, 2020.
-
Abstract
- In this article, we combine some fundamental theories of the Pythagorean 2-tuple linguistic sets (P2TLSs) with EDAS method and design the Pythagorean 2-tuple linguistic number (P2TLN) EDAS (P2TLN-EDAS) method for multiple attribute group decision making (MAGDM) issue. Firstly, the basic concepts of P2TLSs are introduced. Next, two aggregation operators of P2TLN are defined, and then the calculation steps of EDAS method are listed briefly. Furthermore, P2TLN-EDAS method is given for MAGDM problems and computing steps are proposed in detail. Finally, a computational example related to construction safety assessment is used to expound the effectiveness of the designed method. Meanwhile, we also carried out some comparative analysis between P2TLN-EDAS method and P2TLWA/P2TLWG operators and another P2TLN-TODIM method. The results show that P2TLN-EDAS method derives the same best alternative as P2TLWA, P2TLWG operators and P2TLN-TODIM method. First published online 24 September 2020
- Subjects :
- P2TLSs
Theoretical computer science
HF5001-6182
Computer science
020209 energy
Pythagorean theorem
Economic growth, development, planning
02 engineering and technology
EDAS method
Group decision-making
Rule-based machine translation
0202 electrical engineering, electronic engineering, information engineering
EDAS
HD72-88
020201 artificial intelligence & image processing
Business
MAGDM
Tuple
construction project
P2TLN-EDAS method
Finance
Multiple attribute
Subjects
Details
- Language :
- English
- ISSN :
- 20294921 and 20294913
- Database :
- OpenAIRE
- Journal :
- Technological and Economic Development of Economy (2020), Technological and Economic Development of Economy; Vol 26 No 6 (2020); 1125-1138
- Accession number :
- edsair.doi.dedup.....0dbf54238bbd1269d6476428e9a2a9a3