Abstract
Formal Concept Analysis(FCA) is a powerful data analysis and visualization technique.
FCA is used in various fields such as web visualization, psychology, marketing, etc.
However, the lattice structure rapidly becomes more complex, as the number of attributes are getting larger.
Although many researches of lattice reduction has been conducted, there is no standard indicator of the complexity of the lattice.
Therefore, it is impossible to directly compare the lattices to understand the effectiveness of lattice reduction method.
In this research, we define the indicator of the complexity of the lattice based on degree of nodes and its variance to evaluate the lattices and verify these indicators.
