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    Chapter and Conference Paper

    A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models

    In this paper, a data imputation method with a Support Vector Machine (SVM) is proposed to solve the issue of missing data in activity-based diaries. Here two SVM models are established to predict the missing ...

    Banghua Yang, Davy Janssens, Da Ruan, Mario Cools in Foundations of Intelligent Systems (2012)

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    Chapter and Conference Paper

    Using Belief Degree-Distributed Fuzzy Cognitive Maps for Safety Culture Assessment

    Safety Culture describes how safety issues are managed within an enterprise. In this paper we describe a prototype for safety culture assessment using Belief Degree Fuzzy Cognitive Maps. Our appr...

    Da Ruan, Lusine Mkrtchyan in Practical Applications of Intelligent Systems (2012)

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    Chapter and Conference Paper

    Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling

    Although the individuals’ transport behavioural modelling is a complex task, it has a notable social and economic impact. Thus, in this paper Fuzzy Cognitive Maps are explored to represent the behaviour and op...

    Maikel León, Lusine Mkrtchyan in Artificial Neural Networks and Machine Lea… (2012)

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    Chapter and Conference Paper

    α-Satisfiability and α-Lock Resolution for a Lattice-Valued Logic LP(X)

    This paper focuses on some automated reasoning issues for a kind of lattice-valued logic LP(X) based on lattice-valued algebra. Firstly some extended strategies from classical logic to LP(X) are investigated in o...

    **ngxing He, Yang Xu, Yingfang Li, Jun Liu in Hybrid Artificial Intelligence Systems (2010)

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    Chapter and Conference Paper

    Imputing Missing Values in Nuclear Safeguards Evaluation by a 2-Tuple Computational Model

    Nuclear safeguards evaluation aims to verify that countries are not misusing nuclear programs for nuclear weapons purposes. Experts of the International Atomic Energy Agency (IAEA) evaluate many indicators by ...

    Rosa M. Rodríguez, Da Ruan, Jun Liu in Artificial Intelligence and Soft Computing (2010)

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    Chapter and Conference Paper

    On Compactness and Consistency in Finite Lattice-Valued Propositional Logic

    In this paper, we investigate the semantical theory of finite lattice-valued propositional logic based on finite lattice implication algebras. Based on the fuzzy set theory on a set of formulas, some propositi...

    **aodong Pan, Yang Xu, Luis Martinez, Da Ruan in Hybrid Artificial Intelligence Systems (2010)

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    Chapter and Conference Paper

    Computational Intelligence Algorithms Analysis for Smart Grid Cyber Security

    The cyber attack risks are threatening the smart grid security. Malicious worm could spread from meter to meter to take out power in a simulated attack. The North American Electric Reliability Corporation (NER...

    Yong Wang, Da Ruan, Jian** Xu, Mi Wen, Liwen Deng in Advances in Swarm Intelligence (2010)

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    Chapter and Conference Paper

    A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers

    Conventional fault tree analysis in safety analysis of complex engineering systems calculates the occurrence probability of the top undesired event using probabilistic failure rates. However, it is often very ...

    Julwan H. Purba, Jie Lu, Da Ruan in Artificial Intelligence and Soft Computing (2010)

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    Chapter and Conference Paper

    On a New Class of Implications in Fuzzy Logic

    We define and study a new class of implications determined only by a negation. We examine under which conditions the most popular eight axioms for implications are satisfied. We obtain the intersection of the ...

    Yun Shi, Bart Van Gasse, Da Ruan in Information Processing and Management of U… (2010)

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    Chapter and Conference Paper

    On a Mathematical Relationship Between the Fixed Point and the Closed Itemset in Association Rule Mining

    Association rule mining is one of important research topics in knowledge discovery and data mining. Recent promising direction of association rule mining is mainly to mine closed itemsets. Based on the Galois ...

    Tian-rui Li, Da Ruan, Tianmin Huang in AI 2005: Advances in Artificial Intelligence (2005)