Pythagorean fuzzy combinative distance-based assessment with pure linguistic information and its application to financial strategies of multi-national companies
Bibliographic Data
| ID | 15067656 |
|---|---|
| Authors | Jinming Zhou (0000-0002-1485-6884, Anhui Polytechnic University), Kui-Wai Li (0000-0001-7756-9797, University of Windsor), Tomas Balezentis (0000-0002-3906-1711, Lithuanian Institute of Agrarian Economics, corresponding author), Dalia Streimikiene (0000-0002-3247-9912, Lithuanian Institute of Agrarian Economics) |
| Year | 2020 |
| Volume | 33 |
| Issue | 1 |
| Pages | 974-998 |
| Publication date | 2020-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2020.1736117 |
| OpenAlex | W3014409699 |
| Language | EN |
| References cited | 41 |
This article addresses the issue of selecting Financial Strategies in Multi-National companies (F.S.M.). The F.S.M. typically has to consider multiple factors involving multiple stakeholders and, hence, can be handled by applying an appropriate Multi-Criteria Group Decision-Making (M.C.G.D.M.) approach. To address this issue, we develop an M.C.G.D.M. framework to tackle the F.S.M. problem. To handle inherent uncertainty in business decisions as reflected by linguistic reasoning, we embark on constructing a Linguistic Pythagorean Fuzzy (L.P.F.) M.C.G.D.M. framework that is capable of tackling both uncertain decision information and linguistic variables. The proposed approach extends the combinative distance-based assessment (C.O.D.A.S.) method into the L.P.F. environment, and processes decision input expressed as Pythagorean fuzzy sets (P.F.S.) and pure linguistic variables (rather than converting linguistic information into fuzzy numbers). The developed L.P.F.-C.O.D.A.S. technique aggregates the L.P.F. information and is applied to the F.S.M. problem with uncertain linguistic information. A comparative analysis is carried out to compare the results obtained from the proposed L.P.F.-C.O.D.A.S. approach with those from other extensions of C.O.D.A.S. Furthermore, a sensitivity analysis is conducted to check the impact of changes in a distance threshold parameter on the ranking results
Business · Fuzzy logic · Linguistics · Natural language processing · Pythagorean theorem · Advanced Algebra and Logic · Computer Science · Mathematics · Multi-Criteria Decision Making · Philosophy · Rough Sets and Fuzzy Logic · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |