Name
Abstract | ||
|---|---|---|
•Selecting decisions that achieve most goals but with fewest redundant attributes.•An argumentative process to identify best decisions with explanation.•Application in literature search in law shows promising results.•Natural language explanations are useful for supporting human decision makers. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.09.038 | Expert Systems with Applications |
Keywords | Field | DocType |
Multi-attribute decision-making,Explainable artificial intelligence,Computational argumentation,Natural language generation | Legal reasoning,Argumentation framework,Argumentative,Computer science,Argumentation theory,Natural language,Decision model,Artificial intelligence,Management science,Machine learning | Journal |
Volume | ISSN | Citations |
117 | 0957-4174 | 1 |
PageRank | References | Authors |
0.39 | 37 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiaoting Zhong | 1 | 7 | 1.21 |
| Xiuyi Fan | 2 | 98 | 13.18 |
| Xudong Luo | 3 | 773 | 64.70 |
| Francesca Toni | 4 | 343 | 27.02 |