This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making          (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP)          and the technique for order preference by similarity to an ideal solution (TOPSIS).          Since the efficiency score of unity is assigned to ...

this paper proposes a method for ranking decision making units (dmus) using some of the multiple criteria decision making / multiple attribute decision making          (mcdm /madm) techniques, namely, interval analytic hierarchy process (iahp)          and the technique for order preference by similarity to an ideal solution (topsis).          since the efficiency score of unity is assigned to ...

In order to improve the effectiveness of clustering, a resource-tag attribute graph clustering algorithm is proposed in this paper, which makes a two-stage of clustering by the use of attribute tags of nodes in graphs. Firstly tags clusters are generated based on the weight and similarity of tags, which is the preprocessing of tags. Secondly the attribute vectors of nodes in resources are teste...

Radio signal recognition is an important aspect of radio signal processing. Feature extraction of radio signals is a key of radio signal recognition. In this paper, the formal context is proposed to describe the relation between signals and their features. Therefore, the theory and method of attribute reduction of formal concept lattice can be utilized to extract useful features. Attribute redu...

Person re-identification (re-ID) aims to match pedestrian pairs captured from different cameras. Recently, various attribute based models have been proposed combine the as an auxiliary semantic information in order learn a more discriminative representation. However, these methods usually directly concatenate visual branch and embeddings final representation, which ignores relation between reve...

The existing expert weight determination method for multi-attribute decision making based on the Pythagorean fuzzy number approach does not make sufficient use of hesitation involved with information, which may cause biased assignment. Therefore, to address issue unknown weights and attribute evaluation numbers in group decision-making problems, a is proposed that improves treatment sets. First...

Choquet integral, as an adequate aggregation operator, extends the weighted mean operator by considering interactions among attributes. Choquet integral has been widely used in many real multi-attribute decision making. Weights (fuzzy measures) of attribute sets directly affect the decision results in multi-attribute decision making. In this paper, we aim to propose an objective method based on...

In this paper, we consider the problem of cross-document co-reference (CDC). Existing approaches tend to treat CDC as an information retrieval based problem and use features such as TF-IDF cosine similarity to cluster documents and/or co-reference chains. We augmented these features with features based on biographical attributes, such as occupation, nationality, gender, etc., obtained by using ...