Recent works have shown that visual attributes are useful in a number of applications, such as object classification, recognition, and retrieval. However, predicting attributes in images with large variations still remains a challenging problem. Several approaches have been proposed for visual attribute classification; however, most of them assume independence among attributes. In fact, to pred...

Similarity measure is an important tool to measure the degree of resemblance between two intuitionistic fuzzy sets. In this paper, in order to overcome the counter-intuitive in some cases, a new similarity measure of intuitionistic fuzzy sets is constructed and successively applied in pattern recognition and medical diagnosis. Based on the proposed similarity measure, a new decision making meth...

For multiple attribute group decision-making problems, in which the attribute values are triangular intuitionistic fuzzy numbers and the attribute weight information is the linguistic evaluation, a multiple attribute group decision-making method is proposed. In the method, first, to transform the 2-tuple linguistic attribute weights to the real numbers. Then, to aggregate the experts’ preferenc...

In term of researching attribute reduction based on tolerance rough set, this paper researches relation between definitions of reduct in set-valued decision system. The results help us deeply understand characteristic of reduct’s definition in set-valued decision system, also it is a theory foundation in order to create new and efficiency methods. For attribute reduction problems, the most impo...

Jay Russo for helpful comments. This paper has benefited from comments by Detlof von Winterfeldt, Departmental Editor, and three anonymous referees. 3 This article introduces a technique for improving preference assessment by reducing the influence of context on preferential choices. We propose that a decision maker who is exposed to relevant attribute levels will form spontaneous valuations, w...