|
1. |
Standardising the elimination of unnecessary data from interview transcripts for the purposes of knowledge‐based systems — a case study |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 3-13
S.R. Jones,
J.C. Miles,
M.W. Read,
Preview
|
PDF (1311KB)
|
|
摘要:
Abstract:Although knowledge elicitation, the process of extracting knowledge from human experts to be incorporated into a knowledge‐based system, has been the subject of some notable studies, less attention has been paid to the methods of analysing the raw data once it has been extracted from the expert. When knowledge elicitation sessions are interview‐based, the resultant form of raw data is usually a transcript of the interviewee's utterances. This paper describes an investigation into the preliminary stage of analysing such transcripts. It outlines the development of an approach to eliminate unnecessary detail from interview transcripts, thus enabling attention to be focused upon the remaining, more relevant data via a simple technique based upon cheap and readily available technology. The paper then outlines a rapid‐prototyping approach for evaluating this method, the results of which were felt to be very encour
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00279.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
2. |
Expert system technology in organisational process domain modelling |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 15-28
Vijayan Sugumaran,
Ranjit Bose,
Preview
|
PDF (1712KB)
|
|
摘要:
Abstract:Organisational processes are repetitive, time‐consuming and interdependent, requiring several members to interact for successful completion. Moreover, when organisations change their operating procedures it becomes difficult to carry out even routine tasks because of the confusion and lack of communication. By studying the organisational processes and the knowledge required to execute them, we can create generic process models that could be stored persistently in a repository. This process repository can serve as a corporate knowledge base, which could be accessed by intelligent computer assistants for automating organisational processes. This paper presents a framework of intelligent assistants that can emulate the behaviour of human agents in organisational problem‐solving. The generic process models can also be customised to meet the changing needs of the organisation. We present a domain modelling approach to organisational process modelling and an expert system for customising process models. The paper also describes the architecture and design of the proof‐of‐concept prototype that supports organisational process modelling, as well as process execution through intelligent computer ass
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00280.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
3. |
An expert system for unit commitment and power demand prediction using fuzzy logic and neural networks |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 29-40
Sameer Bataineh,
Adnan Al‐Anbuky,
Salem Al‐Aqtash,
Preview
|
PDF (1003KB)
|
|
摘要:
Abstract:The paper discusses the implementation of a fuzzy logic and artificial neural networks approach to providing a structural framework for the representation, manipulation and utilisation of data and information concerning prediction of power demand and generation commitments. An algorithm has been implemented and trained to predict the power demand at each load point on an hourly basis. The neural network is then implemented to supply the brute force necessary to accommodate the large amount of sensory data to provide the initial evaluation of the generation units to be committed. Results of the fuzzy model show a reasonable correspondence with the actual power demand. A standard deviation error for an hourly based prediction is limited to 4.4. Further refinement of the fuzzy model may produce further improvements.Implementation of artificial neural networks for scheduling an hourly unit commitment based on load demands is also discussed The backpropagation technique based on the I/O mapping method has been chosen for structuring the neural network. Geographically related load points and generating units are clustered into groups. Grouping has significantly reduced the number of inputs and outputs to the neural network and, hence, reduced the system complexity. As a result, both training requirements and running real time interaction are significantly improved. The expert system would replace and utilise the requirement for skilled dispatchers in scheduling the generators. It is anticipated that this facility is more accurate, dynamic, adaptive and more efficient than a skilled dispatcher. The overall cost of power generation is expected to be less if the new facility is used. Initial results have reflected a satisfactory correlation between predicted and actual results, with a standard deviation error of 1.71% and 1.96% in the base load units of HTPS and ATPS respectively.
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00281.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
4. |
A framework for the generation of project‐specific quality control for knowledge‐based system development |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 41-54
Russell Clarke,
Hassein Soltan,
Preview
|
PDF (1536KB)
|
|
摘要:
Abstract:This paper describes a framework for the generation of quality control procedures for knowledge‐based system (KBS) projects. KBS projects have their own brand of technical difficulties. These are discussed, and the mismatch between KBS projects and traditional software quality assurance (SQA) approaches is described.An iterative approach to quality is suggested based upon Boehm's Spiral Model of project management. The principles of this approach are described followed by a description of the elements of the framework under development, including inputs, outputs and internal functionality. The operation of the framework is then demonstrated in relation to the Spiral Model. Application of the framework to KBS development project issues is then discussed in relation to current guidelines for KBS quality assuranc
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00282.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
5. |
Process factors in knowledge acquisition |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 55-62
Clyde W. Holsapple,
William P. Wagner,
Preview
|
PDF (862KB)
|
|
摘要:
Abstract:Knowledge acquisition (KA) is often characterised as a crucial bottleneck in the development of expert system applications. General definitions of KA view it as a collection of subprocesses such as elicitation, analysis and representation, but in actual practice, each KA occurrence may involve one or all of these subprocesses in varying sequences and combinations. No model or framework currently exists for describing the many possible variations in KA processes as they actually occur. This article presents a new way of characterising knowledge acquisition processes that is not tied to one particular technique or approach to KA. Three nested levels are proposed to characterise the many possible variations and combinations of KA dynamics: the process, episode and transaction levels of analysis. Each of these is further delineated in a top‐down manner. Not only does this scheme provide a fairly comprehensive means for viewing KA dynamics as a whole, but it suggests several factors that have heretofore drawn little research attention. The suggested constructs capture more accurately what actually occurs in the practice of KA. In so doing they also provide the foundation for structuring future research into how KA processes may unfol
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00283.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
6. |
Book Reviews |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 63-69
Preview
|
PDF (778KB)
|
|
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00284.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
7. |
News |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 70-86
Preview
|
PDF (1757KB)
|
|
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00285.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
8. |
Diary |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 87-91
Preview
|
PDF (367KB)
|
|
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00286.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
9. |
Call for Papers |
|
Expert Systems,
Volume 13,
Issue 1,
1996,
Page 92-92
Preview
|
PDF (133KB)
|
|
ISSN:0266-4720
DOI:10.1111/j.1468-0394.1996.tb00287.x
出版商:Blackwell Publishing Ltd
年代:1996
数据来源: WILEY
|
|