Concept Lattices in Green Farmland Databases and Concept Intent Reduction for the Mass Food Production

Abstract

Formal Concept Analysis (FCA) in green farmland databases and Concept Intent Reduction for the mass food production provides a method for extracting concepts from binary contexts. However, FCA-concepts cannot describe negations and disjunctions of attributes. Hence, we take the logic operators into consideration in the process of constructing concepts and obtain new extended concepts, which are more expressive than FCA-concepts. This study mainly discusses the connections between FCA-concepts and concepts with logic values in green farmland databases and concept intent reduction for the mass food production and provides a method for reducing concepts. The reduction does not lose essential information. Results can be used in data mining and construction of architecture ontology.