This paper proposes a new approach based on Bonferroni mean operator and possibility degree to solve fuzzy multi-attribute decision making (FMADM) problems in which the attribute value takes the form of interval type-2 fuzzy numbers. We introduce the concepts of interval possibility mean value and present a new method for calculating the possibility degree of two interval trapezoidal type-2 fuz...

The ubiquitous computing paradigm suggests that we are going to be surrounded by countless wireless devices capable of providing services transparently. By definition, the nature of ubiquitous computing environments is open and extremely dynamic, making difficult the establishment of predefined security relationships between all of the participating entities. Authentication mechanisms can be em...

A novel method of "predicting" sitter case attribute value is presented in this paper. The method allows users to choose two attributes, seed and target attribute, and to predict the target attribute value of the forthcoming sitter case. The method first retrieves string sequences of the seed attribute according to filters the users set. Then, it finds the words in the sequences and calculates ...

In the light of universality of uncertainty, we propose a decision making model in completed information system. Considering the attribute reduction, attribute importance and mismatched information, a multiple attribute decision making model based on importance of attribute is constructed. First of all, decision table is obtained by the knowledge known and deleting reduced attributes. Also, att...

We introduce a human computation approach for acquiring object attributes and attribute values from the crowd, including a new game called Polarity.