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Developing expert systems for management applications

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Listed:
  • Holroyd, P
  • Mallory, G
  • Price, Dhr
  • Sharp, JA

Abstract

The Alvey Report has resulted in a growing interest in the UK in 'expert systems'. It is fairly generally accepted, at least in the UK, that such systems function in a particular type of way, i.e. they arrive at decisions through a process of rule based inference. It is suggested that it may be more fruitful to regard rule based inference as one approach to the construction of expert systems, and that proven techniques of operational research may well be more useful in constructing other types of expert system. Alternative applications of expert systems are derived on the basis of a broader definition of an expert system in terms of what it does rather than how it does it. A parallel is drawn between these applications and some typical concerns of business research. It is suggested that a useful aid in identifying promising business applications of expert systems is to set up four 'dimensions' along which different types of system differ. Examples are given of where other techniques might conceivably be useful in applications of expert systems.

Suggested Citation

  • Holroyd, P & Mallory, G & Price, Dhr & Sharp, JA, 1985. "Developing expert systems for management applications," Omega, Elsevier, vol. 13(1), pages 1-11.
  • Handle: RePEc:eee:jomega:v:13:y:1985:i:1:p:1-11
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    Cited by:

    1. Moore, James S, 1998. "An Expert System Approach to Graduate School Admission Decisions and Academic Performance Prediction," Omega, Elsevier, vol. 26(5), pages 659-670, October.
    2. O' Keefe, Robert M. & Preece, Alun D., 1996. "The development, validation and implementation of knowledge-based systems," European Journal of Operational Research, Elsevier, vol. 92(3), pages 458-473, August.

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