| Autor: |
M. Sarwar Sindhu, Tabasam Rashid |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030511555 |
| DOI: |
10.1007/978-3-030-51156-2_34 |
| Popis: |
Hesitant fuzzy sets (HFSs) further extended into interval-valued hesitant fuzzy sets (IVHFSs). IVHFSs comprises belonging degree in terms of intervals. The weights of the criteria are the basic key to decide the best option from the identical options. We introduce the linear programming (LP) model to compute the criteria’s the unknown weights in the present work. Furthermore, an extended TOPSIS is applied under the INVHFs circumstances. Our proposed method is beneficial to reduce the complexity of computation as compare to other existing MCDM methods. The said model is implemented in a practical example regarding the energy sector to explain the validity and strength. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
