Affiliations: [a] College of Information Technology, Hebei Normal University, Shijiazhuang, P.R. China | [b] College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, P.R. China
Correspondence:
[*]
Corresponding author. Bin Xie, College of Information Technology, Hebei Normal University, Shijiazhuang 050024, P.R. China. Tel.: +86 311 80787805; Fax: +86 311 80787202; E-mail: xiebin_hebtu@126.com.
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.
