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Dive into the research topics where Tong-Jun Li is active.

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Featured researches published by Tong-Jun Li.


granular computing | 2009

Fuzzy Approximation Operators Based on Coverings

Tong-Jun Li; Jian-Min Ma

This paper presents a general framework for the study of covering-based fuzzy approximation operators in which a fuzzy set can be approximated by some elements in a crisp or a fuzzy covering of the universe of discourse. Two types of approximation operators, crisp-covering-based rough fuzzy approximation operators and fuzzy-covering-based fuzzy rough approximation operators, are defined, their properties are examined in detail. Finally, the comparison of these new approximation operators is done, a sufficient and necessary condition is given under which some operators are equivalent, and approximation operator characterization of fuzzy partitions of the universe is obtained.


rough sets and knowledge technology | 2014

Intuitionistic Fuzzy Rough Approximation Operators Determined by Intuitionistic Fuzzy Triangular Norms

Wei-Zhi Wu; Shen-Ming Gu; Tong-Jun Li; You-Hong Xu

In this paper, relation-based intuitionistic fuzzy rough approximation operators determined by an intuitionistic fuzzy triangular norm T are investigated. By employing an intuitionistic fuzzy triangular norm T and its dual intuitionistic fuzzy triangular conorm, lower and upper approximations of intuitionistic fuzzy sets with respect to an intuitionistic fuzzy approximation space are first introduced. Properties of T-intuitionistic fuzzy rough approximation operators are then examined. Relationships between special types of intuitionistic fuzzy relations and properties of T-intuitionistic fuzzy rough approximation operators are further explored.


international joint conference on rough sets | 2016

Rough Approximations Induced by Orthocomplementations in Formal Contexts

Tong-Jun Li; Wei-Zhi Wu; Shen-Ming Gu

Formal contexts is a common framework for rough set theory and formal concept analysis, and some rough set models in formal contexts have been proposed. In this paper, based on the theory of abstract approximation spaces presented by Cattaneo [1], a Brouwer orthocomplementation on the set of objects of a formal context is presented, as a result, a pair of new lower and upper rough approximation operators is introduced. Comparison between the new approximation operators and the existing approximation operators is made, and two necessary and sufficient conditions about equivalence of the operators are obtained. Relationships and algebraic structures among the definable subsets of these approximation operators are investigated.


rough sets and knowledge technology | 2015

Knowledge Spaces and Reduction of Covering Approximation Spaces

Tong-Jun Li; Shen-Ming Gu; Wei-Zhi Wu

Theory of covering rough sets is one kind of effective methods for knowledge discovery. In Bonikowski covering approximation spaces, all definable sets on the universe form a knowledge space. This paper focuses on the theoretic study of knowledge spaces of covering approximation spaces. One kind of dependence relations among covering approximation spaces is introduced, the relationship between the dependence relation and lower and upper covering approximation operators are discussed in detail, and knowledge spaces of covering approximation spaces are well characterized by them. By exploring the dependence relation between a covering approximation space and its sub-spaces, the notion of the reduction of covering approximation spaces is induced, and the properties of the reductions are investigated.


Archive | 2015

Axiomatic Characterizations of Reflexive and \mathcal {T}-Transitive \mathcal {I}-Intuitionistic Fuzzy Rough Approximation Operators

Wei-Zhi Wu; You-Hong Xu; Tong-Jun Li; Xia Wang

Axiomatic characterizations of approximation operators are important in the study of rough set theory. In this paper, axiomatic characterizations of relation-based intuitionistic fuzzy rough approximation operators determined by an intuitionistic fuzzy implication operator (mathcal{I}) are investigated. We present a set of axioms of lower/upper (mathcal{I})-intuitionistic fuzzy set-theoretic operator which is necessary and sufficient for the existence of an intuitionistic fuzzy relation producing the same operator. We show that the lower and upper (mathcal{I})-intuitionistic fuzzy rough approximation operators generated by an arbitrary intuitionistic fuzzy relation can be described by single axioms. Moreover, the (mathcal{I})-intuitionistic fuzzy rough approximation operators generated by reflexive and (mathcal{T})-transitive intuitionistic fuzzy relations can also be characterized by single axioms.


granular computing | 2013

On Dual Intuitionistic Fuzzy Rough Approximation Operators Determined by an Intuitionistic Fuzzy Implicator

Wei-Zhi Wu; Cang-Jian Gao; Tong-Jun Li; You-Hong Xu

In this paper, dual intuitionistic fuzzy rough approximation operators determined by an intuitionistic fuzzy implication operator


granular computing | 2013

Boolean Covering Approximation Space and Its Reduction

Tong-Jun Li; Wei-Zhi Wu

{mathcal I}


granular computing | 2012

Granule structures in formal contexts from covering rough set aspect

Tong-Jun Li

in infinite universes of discourse are investigated. Lower and upper approximations of intuitionistic fuzzy sets with respect to an intuitionistic fuzzy approximation space in infinite universes of discourse are first introduced. Properties of


granular computing | 2011

Rough sets and general basic set assignments

Tong-Jun Li; Wei-Zhi Wu

{mathcal I}


granular computing | 2010

Knowledge Reduction of Incomplete Information Systems with Negative Decision Rules

Tong-Jun Li; Wei-Zhi Wu

-intuitionistic fuzzy rough approximation operators are then examined. Relationships between special types of intuitionistic fuzzy relations and properties of

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Wei-Zhi Wu

Zhejiang Ocean University

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Shen-Ming Gu

Zhejiang Ocean University

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You-Hong Xu

Zhejiang Ocean University

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Xia Wang

Zhejiang Ocean University

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Cang-Jian Gao

Zhejiang Ocean University

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Jian-Min Ma

Xi'an Jiaotong University

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