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 Tuanfang Fan

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Average citations per article2.74
Citation Count52
Publication count19
Publication years2001-2017
Available for download3
Average downloads per article47.00
Downloads (cumulative)141
Downloads (12 Months)78
Downloads (6 Weeks)8
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19 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
August 2017 WI '17: Proceedings of the International Conference on Web Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 32,   Downloads (Overall): 52

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In agent-based systems, an agent generally forms her belief based on evidence from multiple sources, such as messages from other agents or perception of the external environment. In this paper, we present a logic for reasoning about evidence and belief. Our framework not only takes advantage of the source-tracking capability ...
Keywords: dynamic epistemic logic, evidential reasoning, justification logic, logical omniscience, reasoning about belief, second-order propositional modal logic

2 published by ACM
June 2017 ACM Transactions on Computational Logic (TOCL): Volume 18 Issue 2, June 2017
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 36,   Downloads (Overall): 68

Full text available: PDFPDF
Justification logic originated from the study of the logic of proofs. However, in a more general setting, it may be regarded as a kind of explicit epistemic logic. In such logic, the reasons a fact is believed are explicitly represented as justification terms. Traditionally, the modeling of uncertain beliefs is ...
Keywords: Justification logic, possibilistic logic, realization theorem, modal logic

3
May 2017 AAMAS '17: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 10,   Downloads (Overall): 21

Full text available: PDFPDF
In multi-agent systems, an agent generally forms her belief based on information from multiple sources, such as messages from other agents or perception of the external environment. While modal epistemic logic has been a standard formalism for reasoning about agent's belief, it lacks the expressive power for tracking information sources. ...
Keywords: evidential reasoning, second-order propositional modal logic, justification logic, reasoning about belief, dynamic epistemic logic, gettier problem, logical omniscience

4
July 2015 IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

Justification logic originated from the study of the logic of proofs. However, in a more general setting, it may be regarded as a kind of explicit epistemic logic. In such logic, the reasons why a fact is believed are explicitly represented as justification terms. Traditionally, the modeling of uncertain beliefs ...

5
September 2014 Artificial Intelligence: Volume 214 Issue 1, September 2014
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 3

Social network analysis is a methodology used extensively in social science. Classical social networks can only represent the qualitative relationships between actors, but weighted social networks can describe the degrees of connection between actors. In a classical social network, regular equivalence is used to capture the similarity between actors based ...
Keywords: bisimulation, reasoning under uncertainty or imprecision, regular equivalence, weighted social network, many-valued modal logic

6
July 2013 COMPSAC '13: Proceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Social network analysis is a methodology used extensively in social sciences. While classical social network can only represent the qualitative relationships between actors, weighted social networks can describe the degrees of connection between actors. In classical social network, regular equivalence is used to capture the similarity between actors based on ...
Keywords: Weighted social network, many-valued modal logic, regular equivalence

7
July 2013 ECSQARU'13: Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Social network analysis is a methodology used extensively in social sciences. While classical social networks can only represent the qualitative relationships between actors, weighted social networks can describe the degrees of connection between actors. In classical social network, regular equivalence is used to capture the similarity between actors based on ...
Keywords: generalized regular equivalence, weighted social network, many-valued modal logic, regular similarity

8
February 2013 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 221, February, 2013
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 2

In classical rough set theory, objects are partitioned into equivalence classes based on their attribute values, which essentially represent the functional information associated with the objects. Therefore, rough set theory can be viewed as a theory of functional granulation. In contrast, relational information systems (RISs) specify the relationships between objects, ...
Keywords: Congruence, Relational structures, Exact equivalence, Knowledge reduction, Bisimulation, Rough sets

9
December 2011 International Journal of Approximate Reasoning: Volume 52 Issue 9, December, 2011
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 15

In this paper, we propose a dominance-based fuzzy rough set approach for the decision analysis of a preference-ordered uncertain or possibilistic data table, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express ...
Keywords: Dominance-based rough set approach, Multi-criteria decision analysis, Possibilistic data table, Rough set theory, Preference-ordered data tables, Uncertain data tables

10
June 2011 RSFDGrC'11: Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper, we propose a dominance-based fuzzy rough set approach for the decision analysis of a preference-ordered possibilistic information systems, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express preference scales. ...

11
December 2008 ICDMW '08: Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In data mining problems, data is usually provided in the form of data tables. To represent knowledge discovered from data tables, decision logic (DL) is proposed in rough set theory. While DL is an instance of propositional logic, we can also describe data tables by other logical formalisms. In this ...
Keywords: Data table, rough set theory, decision logic, first-order logic, granular data model

12
November 2008 International Journal of Approximate Reasoning: Volume 49 Issue 3, November, 2008
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 6

The notion of regular equivalence or bisimulation arises in different applications, such as positional analysis of social networks and behavior analysis of state transition systems. The common characteristic of these applications is that the system under modeling can be represented as a graph. Thus, regular equivalence is a notion used ...
Keywords: Fuzzy graph, Bisimulation, Granular computing, Social networks, Labeled transition systems, Regular equivalences

13
June 2008 Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Publisher: IOS Press
Bibliometrics:
Citation Count: 0

Rough set theory is an effective tool for data mining. According to the theory, a concept is definable if it can be written as a Boolean combination of equivalence classes induced from classification attributes. On the other hand, definability in logic has been explicated by Beth's theorem. In this paper, ...

14
November 2007 GRC '07: Proceedings of the 2007 IEEE International Conference on Granular Computing
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 11

Social network analysis is a methodology used exten- sively in social and behavioral sciences, as well as in polit- ical science, economics, organization theory, and industrial engineering. Positional analysis of a social network aims to find similarities between actors in the network. One of the the most studied notions in ...

15
January 2006 Transactions on Rough Sets V
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

In this paper, we propose an arrow decision logic (ADL) for relational information systems (RIS). The logic combines the main features of decision logic (DL) and arrow logic (AL). DL represents and reasons about knowledge extracted from decision tables based on rough set theory, whereas AL is the basic modal ...
Keywords: multicriteria decision analysis, relational information systems, arrow logic, functional information systems, decision logic, rough sets

16
August 2005 RSFDGrC'05: Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ...
Keywords: arrow logic, decision logic, rough sets, multicriteria decision analysis

17
July 2005 IJCAI'05: Proceedings of the 19th international joint conference on Artificial intelligence
Publisher: Morgan Kaufmann Publishers Inc.
Bibliometrics:
Citation Count: 0


18
April 2002 Fundamenta Informaticae: Volume 52 Issue 4, April 2002
Publisher: IOS Press
Bibliometrics:
Citation Count: 1

Some modal decision logic languages are proposed for knowledge representation in data mining through the notions of models and satisfiability. The models are collections of data tables consisting of a finite set of objects described by a finite set of attributes. Some relationships may exist between data tables in a ...
Keywords: modal decision logic, data table, decision logic, rough set theory, fuzzy decision logic

19
October 2001 COMPSAC '01: Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 5

In this paper, the qualitative and quantitative semantics for rules in data tables are investigated from a logical viewpoint. In modern data analysis, knowledge can be discovered from data tables and is usually represented by some rules. However, the knowledge is useful for a human user only when he can ...
Keywords: Data analysis, data table, uncertain data table, decision logic, fuzzy decision logic, possibilistic decision logic



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