Name
Title | ||
|---|---|---|
Models for multiple attribute decision making with hesitant fuzzy linguistic information and their application to Enterprise risk evaluation. |
Abstract | ||
|---|---|---|
In this paper, motivated by the Einstein operations and Bonferroni mean, we investigate the multiple attribute decision making problems for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Then, we propose the hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator. Then, we have utilized the HFLEBM operator to develop an approach for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Finally, a practical example for evaluating the Enterprise risk is given. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/IFS-151860 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Multiple attribute decision making,hesitant fuzzy linguistic sets,hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator,hesitant fuzzy linguistic weighted Einstein Bonferroni mean (HFLWEBM) operator,enterprise risk | Rule-based machine translation,Enterprise risk management,Fuzzy logic,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
30 | 3 | 1064-1246 |
Citations | PageRank | References |
1 | 0.34 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yonghai Wang | 1 | 1 | 0.34 |
| Li Li | 2 | 8 | 1.88 |