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EDAS method for multiple attribute group decision making under q-rung orthopair fuzzy environment
- Source :
- Technological and Economic Development of Economy, Vol 26, Iss 1 (2020), Technological and Economic Development of Economy; Vol 26 No 1 (2020); 86-102, Technological and Economic Development of Economy; Articles in Press; 1-17
- Publication Year :
- 2020
- Publisher :
- Vilnius Gediminas Technical University, 2020.
-
Abstract
- Extended q-rung orthopair fuzzy sets (q-ROFSs) is an excellent tool to depict the qualitative assessing information in multiple attribute group decision making (MAGDM) environments. The EDAS method is very effective especially when the conflicting attributes exist in the MAGDM issues in which the optimal alternative should have the biggest value of PDAS and the smallest value of NDAS. In this paper, we put forward the EDAS method for MAGDM issues under q-ROFSs, which makes use of average solution (AS) for assessing the chosen alternatives. The positive distance from AS (PDAS) and negative distance from AS (NDAS) is derived through the score of q-ROFSs. Then, the sorting order or the optimal alternative can be acquired by computing integrative appraisal score. Finally, a numerical example for buying a refrigerator is given to testify our developed EDAS method and some comparative analysis are also raised to further show the precious merits of this method. First published online 27 November 2019
- Subjects :
- q-ROFHA operator
0209 industrial biotechnology
q-ROFHG operator
HF5001-6182
Computer science
business.industry
q-rung orthopair fuzzy sets (q-ROFSs)
Economic growth, development, planning
02 engineering and technology
EDAS method
Fuzzy logic
multiple attribute group decision making (MAGDM)
Group decision-making
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
EDAS
HD72-88
020201 artificial intelligence & image processing
refrigerator
Business
Artificial intelligence
business
Finance
Multiple attribute
Subjects
Details
- Language :
- English
- ISSN :
- 20294921 and 20294913
- Volume :
- 26
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Technological and Economic Development of Economy
- Accession number :
- edsair.doi.dedup.....f0d67aeaa6dca7e984cc46d1cfcf4740