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    Chapter and Conference Paper

    A Novel Multi-objective Optimization Algorithm for Social Network

    In real-life social networks, the decisions of individual actors are often influenced by multiple sources of information, whose relative influence depends on several factors, in much the same way as many real ...

    I-HO Lee, Jiann-Horng Lin, Chuan-Chun Wu in Multidisciplinary Social Networks Research (2015)

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    Chapter and Conference Paper

    A Two-Phased Ontology Selection Approach for Semantic Web

    In this paper, we attempt to propose a two-phased ontology selection approach. Users can describe their requirements through a two-level requirement analysis model. The coarse-level analysis model is quite sim...

    Tzung-Pei Hong, Wen-Chang Chang in Knowledge-Based Intelligent Information an… (2005)

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    Article

    Ringed spherulites in ternary polymer blends of poly(ε-caprolactone), poly(styrene-co-acrylonitrile), and polymethacrylate

    The relationship between ringed spherulite morphology, crystallization regimes/kinetics, and molecular interactions in miscible ternary blends of poly(ε-caprolactone) (PCL), poly(benzyl methacrylate) (PBzMA), and...

    Chean-Cheng Su, Jiann-Horng Lin in Colloid and Polymer Science (2004)

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    Chapter and Conference Paper

    Learning from Hierarchical Attribute Values by Rough Sets

    The rough-set theory has been widely used in dealing with data classification problems. Most of the previous studies on rough sets focused on deriving certain rules and possible rules on the single concept lev...

    Tzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin in Intelligent Systems Design and Applications (2003)

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    Chapter and Conference Paper

    Maintenance of Discovered Functional Dependencies: Incremental Deletion

    The discovery of functional dependencies (FDs) in relational databases is an important data-mining problem. Most current work assumes that the database is static, and a database update requires rediscovering a...

    Shyue-Liang Wang, Wen-Chieh Tsou in Intelligent Systems Design and Applications (2003)

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    Chapter

    Recurrent Neuro-Fuzzy Models of Complex Systems

    This chapter introduces a neuro-fuzzy system in which the rule consequents are recurrent neural networks. Recurrent neuro-fuzzy systems have the potential to model nonlinear dynamic systems using a small numbe...

    Can Işik, Mohammad Farrokhi, Jiann-Horng Lin in Uncertainty Analysis in Engineering and Sc… (1998)