Name
Abstract | ||
|---|---|---|
In decision making analysis, ranking decision with anti-noise capability is a very desirable issue. This paper focuses on analysing data in interval-valued information systems. A new approach ranking with weighted standardized cardinality (WSC) and inclusion indicator in interval-valued information systems is proposed. It is a novel generalization of ranking method based on dominance classes. The new approach overcomes the drawback of sensitivity to noise for raking using dominance classes-based method. In this paper, each object with all attribute values is regarded as an interval-valued fuzzy set (IVF-set). By defining WSC with controlling parameters and single interval inclusion indicator, two kinds of inclusion indicators of the IVF-set are constructed. The approach is based on the novel idea of raking with WSC and inclusion indicator rather than dominance classes. Experiments verify that the new approach is noise-resistant. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/IFS-151777 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Interval-valued information systems,ranking decision,weighted standardized cardinality,inclusion indicator | Drawback,Information system,Data mining,Ranking,Cardinality,Fuzzy set,Artificial intelligence,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
30 | 1 | 1064-1246 |
Citations | PageRank | References |
0 | 0.34 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Xie | 1 | 2 | 2.75 |
| Leijun Li | 2 | 0 | 0.34 |
| Ju-Sheng Mi | 3 | 2054 | 77.81 |