An interval scaling algorithm and concept lattice building from extended formal context

Formal Concept Analysis is good at handling the formal context only with Boolean value. It´s hard to deal with the extended formal context which contains not only Boolean value, but also fuzzy set, nominal value and intervals. A method for handling extended formal context includes Boolean, nominal value, fuzzy set, and intervals is produced in paper to extend the data process ability of formal concept analysis. An interval scaling algorithm is proposed and a new algorithm for building concept lattice from extended formal context is introduced. In the end of this paper, the experimental results show that the algorithms have good performance.