Automating knowledge acquisition and refinement for decision support: a connectionist inductive inference model

Article Abstract:

A model proposed for aiding knowledge acquisition and refinement in expert systems involves integration of inductive inference and memory-based reasoning methods and three-layered neural network computing. The model is designed for nonstructured decision support. The model is illustrated with an example of use in commercial loan evaluation decision-making. The system, as extended, allows linearly separable and nonlinear decision regions.

Models, Learning models (Stochastic processes), Knowledge acquisition (Expert systems), Stochastic models

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A knowledge based decision support system for setup reduction

Article Abstract:

A study was conducted to evaluate the development of a knowledge-based decision support system (KBDSS) for setup reduction. Setup reduction is important for firms which seek to improve manufacturing productivity by integrating advanced methods such as flexible manufacturing systems and just-in-time manufacturing. The KBDSS provides stable support for setup reduction investment decisions.

Equipment and supplies, Knowledge-based systems, Computer-integrated manufacturing

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