Back to Search
Start Over
CODAS method for 2-tuple linguistic Pythagorean fuzzy multiple attribute group decision making and its application to financial management performance assessment
- Source :
- Technological and Economic Development of Economy, Vol 26, Iss 4, Pp 920-932 (2020), Technological and Economic Development of Economy; Vol 26 No 4 (2020); 920-932
- Publication Year :
- 2020
- Publisher :
- Vilnius Gediminas Technical University, 2020.
-
Abstract
- Financial management performance evaluation (FMPE) has a significant effect on the identifying an investment chance. We can usually consider FMPE as a multiple attribute group decision making (MAGDM) issue, and the MAGDM method is needed to address it. Uncertainty may be one of the significant factors which could influence the process of MAGDM. In order to handle the uncertainty of group decision-making issues, MAGDM approaches along with 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs) have been designed. In this essay, CODAS method is extended to 2TLPFSs to tackle MAGDM issues. Linguistic variables and 2TLPFSs are also used to extend the CODAS method. An application of the presented 2-tuple linguistic Pythagorean fuzzy CODAS (2TLPF-CODAS) method to a case study of FMPE problem with 2-tuple linguistic Pythagorean fuzzy numbers (2TLPFNs) is given. To confirm the results, a comparative analysis between the fuzzy CODAS and 2TLPF-TODIM is performed. The results of the comparison illustrate that the presented 2TLPF-CODAS method offers effective and steady results.
- Subjects :
- 0209 industrial biotechnology
HF5001-6182
Process (engineering)
Computer science
Economic growth, development, planning
02 engineering and technology
Fuzzy logic
Financial management
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Fuzzy number
Business
Multiple attribute
codas method
2tlpf-codas method
business.industry
Pythagorean theorem
magdm
Linguistics
Group decision-making
financial management performance evaluation
2tlpfss
HD72-88
020201 artificial intelligence & image processing
Tuple
business
Finance
Subjects
Details
- Language :
- English
- ISSN :
- 20294921 and 20294913
- Volume :
- 26
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Technological and Economic Development of Economy
- Accession number :
- edsair.doi.dedup.....3308313069df7e81d502be07a5e64a4d