Title :
Concepts with negative-values and corresponding concept lattices
Author :
Lei, Yuxia ; Tian, Jingying
Author_Institution :
Sch. of Comput. Secience, Qufu Normal Univ., Rizhao, China
Abstract :
Formal Concept Analysis (FCA) provides a special method for extracting concepts from binary relations. A concept consists of the extent (objects the concept covers) and the intent (attributes describing the concept). From the propositional logical point of view, the intent of each concept only consists of attributes, and hence the classical FCA-concepts cannot describe negations of attributes. Therefore, it is necessary to extend the classical FCA-concepts to improve the expressiveness of concepts. In this paper, we take the negation into consideration in the process of constructing concepts, and hence obtain new extended concepts. Compared with the classical FCA-concepts, the extended concepts are more expressive. Let ℒ(R) and ℒ¬(R) represent respectively the concept lattice and the concept lattice with negative-values of a binary relation, and we prove that there is an infimum-preserving order-embedding map from ℒ(R) to ℒ¬(R), and conversely, there is a supremum-preserving order-preserving map from ℒ¬(R) to ℒ(R).
Keywords :
formal concept analysis; binary relation extracting concepts; binary relation negative-values; classical FCA-concepts; concept lattices; formal concept analysis; infimum-preserving order-embedding map; supremum-preserving order-preserving map; Context; Data analysis; Data mining; Educational institutions; Fuzzy systems; Knowledge engineering; Lattices; Concept Lattices; Concepts with Negative-Values; Negation;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234132