Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ming-Wen Shao"'
Autor:
Ming-Wen Shao, Ke-Wen Li
Publikováno v:
Information Sciences. 378:317-327
In this paper, we present a new pair of adjoint mappings between a power set and the direct product of complete lattices. The proposed pair of adjoint mappings form a Galois connection and the corresponding concept lattice is constructed from a gener
Publikováno v:
Information Sciences. :17-43
Axiomatic characterizations of approximation operators are of importance in the study of rough set theory. In this paper axiomatic characterizations of relation-based (S, T)-fuzzy rough approximation operators are investigated. By employing a triangu
Publikováno v:
Journal of International Translational Medicine, Vol 3, Iss 1, Pp 39-43 (2015)
Objective: To explore the values of seven tumor markers in the identification and diagnosis of esophageal carcinoma accompanied by neuroendocrine differentiation (E-NED). Methods:A total of 378 patients diagnosed as low differentiation of esophageal
Publikováno v:
Knowledge-Based Systems. 73:265-275
Knowledge reduction is a basic issue in knowledge representation and data mining. Although various methods have been developed to reduce the size of classical formal contexts, the reduction of formal fuzzy contexts based on fuzzy lattices remains a d
Publikováno v:
Applied Soft Computing. 26:235-243
A simpler approach to attribute reduction based on discernibility matrix is presented with covering based rough sets.Some important properties of attribute reduction with covering based rough sets are improved.The computational complexity of the impr
Autor:
Ming-Wen Shao, Yee Leung
Publikováno v:
Knowledge-Based Systems. 65:1-11
One of the key issues of knowledge discovery and data mining is knowledge reduction. Attribute reduction of formal contexts based on the granules and dominance relation are first reviewed in this paper. Relations between granular reduts and dominance
Publikováno v:
International Journal of Approximate Reasoning. 55:259-274
In this paper, we introduce the notion of formal decision context as an extension of formal contexts by employing the notion of decision information table. We use formal concept analysis to formulate an approach to extract ''if-then'' rule from forma
Publikováno v:
International Journal of Approximate Reasoning. 54:1388-1409
In this paper, a general framework for the study of dual fuzzy rough approximation operators determined by a fuzzy implication operator I in infinite universes of discourse is investigated. Lower and upper approximations of fuzzy sets with respect to
Publikováno v:
Soft Computing. 15:1115-1128
Formal Concept Analysis of real set formal contexts is a generalization of classical formal contexts. By dividing the attributes into condition attributes and decision attributes, the notion of real decision formal contexts is introduced. Based on an
Publikováno v:
Fuzzy Sets and Systems. 158:2627-2640
Formal concept analysis and rough set theory are two important tools in knowledge representation and knowledge discovery in relational information systems. The purpose of this paper is to study rough set approximations within formal concept analysis