Abstract
| Language | English |
|---|---|
| Pages | 829-840 |
| Number of pages | 11 |
| Journal | European Journal of Operational Research |
| Volume | Volume: 195 |
| Issue number | Issue: 3 |
| Publication status | Published - 16 Jun 2009 |
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Keywords
- Cognitive maps
- Multi-criteria analysis
- Qualitative decision analysis
- Ordinal operators
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Qualitative operators for reasoning maps. / Belton, V.; Montibeller, G.
In: European Journal of Operational Research, Vol. Volume: 195, No. Issue: 3, 16.06.2009, p. 829-840.Research output: Contribution to journal › Article
TY - JOUR
T1 - Qualitative operators for reasoning maps
AU - Belton, V.
AU - Montibeller, G.
N1 - Document Type: Proceedings Paper; Conference Information: International Conference on Creativity and Innovation in Descision Making and Decision Support London Sch Econ, London, ENGLAND, JUN 28-JUL 01, 2006
PY - 2009/6/16
Y1 - 2009/6/16
N2 - Cognitive/causal maps have been widely used as a powerful way of capturing decision-makers' views about a problem, representing it as a cause-effect discourse. Several ways of making causal inferences from this type of model have been proposed in the operational research and artificial intelligence literatures, but none, as far as we are aware, has attempted to use a causal map structure to perform a multi-criteria evaluation of decision alternatives. Recently, we have proposed a new multi-criteria method, denominated as a Reasoning Map, which permits the use of decision-makers' reasoning, structured as a network of means-and-ends (a particular type of causal map) to perform such an evaluation. In this manner, the model resembles the way that people talk and think about decisions in practice. The method also pays explicit attention to the cognitive limitations of decision-makers in providing preference information. Thus it employs qualitative assessment of preferences, utilises aggregation operators for qualitative data and provides also qualitative outputs. In this paper we discuss and evaluate possible ways of aggregating qualitative performance information in reasoning maps.
AB - Cognitive/causal maps have been widely used as a powerful way of capturing decision-makers' views about a problem, representing it as a cause-effect discourse. Several ways of making causal inferences from this type of model have been proposed in the operational research and artificial intelligence literatures, but none, as far as we are aware, has attempted to use a causal map structure to perform a multi-criteria evaluation of decision alternatives. Recently, we have proposed a new multi-criteria method, denominated as a Reasoning Map, which permits the use of decision-makers' reasoning, structured as a network of means-and-ends (a particular type of causal map) to perform such an evaluation. In this manner, the model resembles the way that people talk and think about decisions in practice. The method also pays explicit attention to the cognitive limitations of decision-makers in providing preference information. Thus it employs qualitative assessment of preferences, utilises aggregation operators for qualitative data and provides also qualitative outputs. In this paper we discuss and evaluate possible ways of aggregating qualitative performance information in reasoning maps.
KW - Cognitive maps
KW - Multi-criteria analysis
KW - Qualitative decision analysis
KW - Ordinal operators
UR - http://suprimo.lib.strath.ac.uk/primo_library/libweb/action/search.do?cs=frb&frbg=5672365&fctN=facet_frbrgroupid&fctV=5672365&frbg=&dum=true&vid=SUVU01&vl(54032236UI0)=lsr02&srt=rank&indx=1&vl(69186824UI1)=all_items&dstmp=1259764134043&tab=local&ct=search
UR - http://dx.doi.org/10.1016/j.ejor.2007.11.015
M3 - Article
VL - Volume: 195
SP - 829
EP - 840
JO - European Journal of Operational Research
T2 - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - Issue: 3
ER -