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Chapter and Conference Paper
Logics of Dominance for Reasoning About Multi-criteria Decisions
In this paper, we present modal logics of preference and dominance for reasoning about multi-criteria decisions. We first explore a basic logical framework based on multi-criteria preferences and its special c...
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Chapter and Conference Paper
Social Network Clustering by Using Genetic Algorithm: A Case Study
With the rapid growth of large-scaled social networks, the analysis of social network data has become an extremely challenging computational issue. To meet the challenge, it is possible to significantly reduce...
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Chapter and Conference Paper
Reasoning About Justified Belief Based on the Fusion of Evidence
In this paper, we propose logics for reasoning about belief and evidence. Starting from justification logic (JL) in which the reasons why a fact is believed are explicitly represented as justification terms, w...
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Chapter
A Uniform Framework for Rough Approximations Based on Generalized Quantifiers
The rough set theory provides an effective tool for decision analysis in the way of extracting decision rules from information systems. The rule induction process is based on the definitions of lower and upper...
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Chapter and Conference Paper
Many-Valued Modal Logic and Regular Equivalences in Weighted Social Networks
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 descr...
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Chapter and Conference Paper
Dominance-Based Rough Set Approach for Possibilistic Information Systems
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...
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Chapter
A Bipolar Interpretation of Fuzzy Decision Trees
Decision tree construction is a popular approach in data mining and machine learning, and some variants of decision tree algorithms have been proposed to deal with different types of data. In this paper, we pr...
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Chapter and Conference Paper
Arrow Decision Logic for Relational Information Systems
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 abo...
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Chapter and Conference Paper
Arrow Decision Logic
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 ba...
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Chapter
Justification and Hypothesis Selection in Data Mining
Data mining is an instance of the inductive methodology. Many philosophical considerations for induction can also be carried out for data mining. In particular, the justification of induction has been a long-s...
