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A comparison of potential applications of expert systems and decision support systems

A comparison of potential applications of expert systems and decision support systems
A comparison of potential applications of expert systems and decision support systems
Part 1 Practical experiences: operational research participation in artificial intelligence, G.I.Doukidis and R.J.Paul; a survey of the application of artificial intelligence techniques within the OR society, G.I.Doukidis and R.J.Paul; from OR to knowledge-based systems - an industrial experience, H.Walters and R.Schtaklef; a five hour expert system tutorial for management students, P.N.Finley et al; experiences in developing an expert system for MBA admissions, P.N.Finley and M.King.
Part 2 Application areas: combining operational research and artificial intelligence, G.I.Doukidis and R.J.Paul; an artificial intelligence approach for improving computer communications network topologies, S.Pierre and H.H.Hoang; multicriteria analysis represented by artificial intelligence techniques, G.Balestra and A.Tsoukias; using an expert system to monitor an automatic stock control system, J.C.Thorpe et al; simple expert systems for computer assisted instruction, M.King and L.McAulay; fuzzy ordinal models for AI-OR, I.B.Turksen; administering rule development in rule-based expert systems, P.N.Finley et al.
Part 3 Production planning and scheduling: operational research approaches to artificial intelligence in production planning and scheduling, R.J.Paul and G.I.Doukidis; the scheduler's predictive experise - an interdisciplinary perspective, K.N.McKay et al; a knowledge-based approach to production planning, P.Duchessi and R.M.O'Keefe; an expert system frameowork for economic evaluation of machining operation planning, G.Zhang et al; an integrated framework for generating and revising factory schedules, S.F.Smith et al; distribution of empty railcars by an expert system - a case study with comparison to OR approaches, A.Beurrier et al; integration of AI and OR techniques for computer-aided algorithmic design in the vehicle routing domain, J.Y.Potvin et al.
Part 4 Simulation: artificial intelligence and expert systems in simulation modeling, R.J.Paul and G.
0333551176
339-348
Palgrave Macmillan
Connell, N.A.D.
20c3599b-f2e6-49fb-9b95-870b421fc27e
Powell, P.L.
bf5aad22-2cd7-40bf-9b1b-13cfde1992d6
Doukidis, Georgios I.
Paul, Ray J.
Connell, N.A.D.
20c3599b-f2e6-49fb-9b95-870b421fc27e
Powell, P.L.
bf5aad22-2cd7-40bf-9b1b-13cfde1992d6
Doukidis, Georgios I.
Paul, Ray J.

Connell, N.A.D. and Powell, P.L. (1992) A comparison of potential applications of expert systems and decision support systems. In, Doukidis, Georgios I. and Paul, Ray J. (eds.) Artificial Intelligence in Operational Research. Basingstoke, GB. Palgrave Macmillan, pp. 339-348.

Record type: Book Section

Abstract

Part 1 Practical experiences: operational research participation in artificial intelligence, G.I.Doukidis and R.J.Paul; a survey of the application of artificial intelligence techniques within the OR society, G.I.Doukidis and R.J.Paul; from OR to knowledge-based systems - an industrial experience, H.Walters and R.Schtaklef; a five hour expert system tutorial for management students, P.N.Finley et al; experiences in developing an expert system for MBA admissions, P.N.Finley and M.King.
Part 2 Application areas: combining operational research and artificial intelligence, G.I.Doukidis and R.J.Paul; an artificial intelligence approach for improving computer communications network topologies, S.Pierre and H.H.Hoang; multicriteria analysis represented by artificial intelligence techniques, G.Balestra and A.Tsoukias; using an expert system to monitor an automatic stock control system, J.C.Thorpe et al; simple expert systems for computer assisted instruction, M.King and L.McAulay; fuzzy ordinal models for AI-OR, I.B.Turksen; administering rule development in rule-based expert systems, P.N.Finley et al.
Part 3 Production planning and scheduling: operational research approaches to artificial intelligence in production planning and scheduling, R.J.Paul and G.I.Doukidis; the scheduler's predictive experise - an interdisciplinary perspective, K.N.McKay et al; a knowledge-based approach to production planning, P.Duchessi and R.M.O'Keefe; an expert system frameowork for economic evaluation of machining operation planning, G.Zhang et al; an integrated framework for generating and revising factory schedules, S.F.Smith et al; distribution of empty railcars by an expert system - a case study with comparison to OR approaches, A.Beurrier et al; integration of AI and OR techniques for computer-aided algorithmic design in the vehicle routing domain, J.Y.Potvin et al.
Part 4 Simulation: artificial intelligence and expert systems in simulation modeling, R.J.Paul and G.

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Published date: 1992
Organisations: Management

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Local EPrints ID: 36257
URI: http://eprints.soton.ac.uk/id/eprint/36257
ISBN: 0333551176
PURE UUID: d62c9498-fc6b-43ab-9992-668cd32f5cf2

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Date deposited: 19 Mar 2007
Last modified: 05 Aug 2022 16:38

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Contributors

Author: N.A.D. Connell
Author: P.L. Powell
Editor: Georgios I. Doukidis
Editor: Ray J. Paul

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