Decision support for "messy" problems

Christian Wagner

doi:10.1016/0378-7206(94)00052-K

Decision support for "messy" problems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Overview

9 Scopus Citations

Scopus Metrics

View graph of relations

Author(s)

Christian Wagner

Detail(s)

Original language	English
Pages (from-to)	393-403
Journal / Publication	Information and Management
Volume	28
Issue number	6
Publication status	Published - Jun 1995
Externally published	Yes

Link(s)

DOI	DOI https://doi.org/10.1016/0378-7206(94)00052-K Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-0001162560&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(7c526ddb-1aeb-490c-a8be-5354354dd2e1).html

Abstract

Problems that are non-quantitative and not bound to a narrow knowledge domain have been served unsatisfactorily by decision support and expert systems. Alternative techniques that address this type of problem are explained here using two key concepts: problem type dependent process support and domain related knowledge. Process support refers to the program steps and the data items useful in finding the solution. Domain related knowledge is knowledge drawn from a specific domain, yet through abstraction applicable to a wider range of problems. Results of preliminary empirical analyses suggest that both concepts are useful. © 1995.