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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

    Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis

    The increasing of public transportation or bike use became an important issue in addressing economic, energy and environmental challenges. With this regard one of the most main tasks is to find and analyze the...

    Lusine Mkrtchyan, Maikel León, Benoît Depaire, Da Ruan in Management 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

    Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems

    Set-valued information systems may evolve over time. How to acquire rules from updating information systems is vital in decision making. Rule acquisition from set-valued decision information systems needs both...

    Junbo Zhang, Tianrui Li, Da Ruan in Autonomous Systems: Developments and Trends (2012)

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    Chapter

    Using Belief Degree Distributed Fuzzy Cognitive Maps for Energy Policy Evaluation

    Cognitive maps (CMs) were initially for graphical representation of uncertain causal reasoning. Later Kosko suggested Fuzzy Cognitive Maps (FCMs) in which users freely express their opinions in l...

    Lusine Mkrtchyan, Da Ruan in Handbook on Decision Making (2012)

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    Chapter

    Implications in Fuzzy Logic: Properties and a New Class

    An implication in fuzzy logic, commonly defined as a two-place operation on the unit interval, is an extension of the classical binary implication. It plays important roles in both mathematical and applied sid...

    Yun Shi, Bart Van Gasse, Da Ruan in 35 Years of Fuzzy Set Theory (2011)

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    Chapter

    Nuclear Reactor Power Control Using State Feedback with Fuzzy Logic

    A novel control scheme for power regulation in a research nuclear reactorhas been developed. The scheme combines different techniques such as state variablefeedback, first order numerical integration for state...

    Jorge S. Benítez-Read, J. Humberto Pérez-Cruz, Da Ruan in Fuzzy Logic (2007)

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    Chapter

    Weak Completeness of Resolution in a Linguistic Truth-Valued Propositional Logic

    In the present paper, the weak completeness of a-resolution principle for a lattice-valued logic (L n ×L2)P(X) with truth value in a logical algebra ( lattice implication algebr...

    Yang Xu, Shuwei Chen, Jun Liu, Da Ruan in Theoretical Advances and Applications of F… (2007)

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    Chapter

    Why Fuzzy Logic? – A Spectrum of Theoretical and Pragmatics Issues

    This chapter briefly summarizes the contents of the whole book. The research survey presents a snap shot of the state-of-the-art of the active on-going research of the current maturity of fuzzy logic. In addit...

    Paul P. Wang, Da Ruan, Etienne E. Kerre in Fuzzy Logic (2007)

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    Chapter and Conference Paper

    On Optimization with Fuzzy Constraint Conditions

    In general, it is a difficult problem to solve an optimal criterion set with fuzzy constraint conditions. In this paper, the difficult problem is changed into a simple problem to solve a conditional extreme va...

    Jun Liu, Da Ruan, Zhenming Song, Yang Xu in Fuzzy Control (2000)