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Enhancing Decision Support System with Neural Fuzzy Model and Simple Model Visualizations

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Handbook on Decision Making

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 4))

Abstract

Decision making and knowledge creation processes are interdependent as the process of decision making itself will result in improved understanding of the problem and the process, and generates new knowledge. The integration of decision support and knowledge management can enhance the quality of support to decision makers, and providing quality support is key to decision support system (DSS). However, people have cognitive constraints to fully understand the support they get from DSS. This paper presents a new approach to solving model externalization by taking into consideration the imprecise nature of decision makers’ judgements on the different tacit models. Knowledge in the form of highly intuitive and easily comprehensible fuzzy rules is created using a neuro-fuzzy system called the Tree-based Neural Fuzzy Inference System (TNFIS). TNFIS employs a novel structure learning algorithm that is inspired from the Piaget’s constructivist emphasis of action-based cognitive development in human. Simple visualization techniques of the explicit neuro-fuzzy model are also proposed in this paper to enhance the internalization ability of the knowledge workers. Results from the experiments show that TNFIS is able to represent the formulated explicit model using a set of concise and intuitive fuzzy rules knowledge base, and achieve better or comparable generalization than other models. Visualizations of the formulated TNFIS model are also shown to enhance the decision maker’s understanding of the problem domain and subsequent internalization of the selected model.

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Authors and Affiliations

  1. Centre for Computational Intelligence, Nanyang Technological University, Singapore

    Eng Yeow Cheu & Chai Quek

  2. Institute for Infocomm Research, A*STAR (Agency for Science, Technology and Research),  

    See Kiong Ng

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  1. Eng Yeow Cheu
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  2. See Kiong Ng
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Editors and Affiliations

  1. University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  2. University of Science Malaysia, Malaysia

    Chee Peng Lim

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Cheu, E.Y., Ng, S.K., Quek, C. (2010). Enhancing Decision Support System with Neural Fuzzy Model and Simple Model Visualizations. In: Jain, L.C., Lim, C.P. (eds) Handbook on Decision Making. Intelligent Systems Reference Library, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13639-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-13639-9_4

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