Value-driven expert systems for decision support
Publication
, Journal Article
Keeney, RL
Published in: Decision Support Systems
1988
Values are an inherent part of all decision processes. Hence, values are at least implicity included in all expert systems intended for decision support. This paper outlines the concepts and methodology, which are based on the principles and procedures of decision analysis, to address explicity the values in an expert system logically and consistently. Implementation of the concepts and methodology involves the elicitation of values using the same general approach as that used by knowledge engineers to explicate expert knowledge. © 1988.
Duke Scholars
Published In
Decision Support Systems
ISSN
0167-9236
Publication Date
1988
Volume
4
Issue
4
Start / End Page
405 / 412
Related Subject Headings
- Information Systems
- 49 Mathematical sciences
- 46 Information and computing sciences
- 35 Commerce, management, tourism and services
- 15 Commerce, Management, Tourism and Services
- 08 Information and Computing Sciences
- 01 Mathematical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Keeney, R. L. (1988). Value-driven expert systems for decision support. Decision Support Systems, 4(4), 405–412.
Keeney, R. L. “Value-driven expert systems for decision support.” Decision Support Systems 4, no. 4 (1988): 405–12.
Keeney RL. Value-driven expert systems for decision support. Decision Support Systems. 1988;4(4):405–12.
Keeney, R. L. “Value-driven expert systems for decision support.” Decision Support Systems, vol. 4, no. 4, 1988, pp. 405–12.
Keeney RL. Value-driven expert systems for decision support. Decision Support Systems. 1988;4(4):405–412.
Published In
Decision Support Systems
ISSN
0167-9236
Publication Date
1988
Volume
4
Issue
4
Start / End Page
405 / 412
Related Subject Headings
- Information Systems
- 49 Mathematical sciences
- 46 Information and computing sciences
- 35 Commerce, management, tourism and services
- 15 Commerce, Management, Tourism and Services
- 08 Information and Computing Sciences
- 01 Mathematical Sciences