DocumentCode :
2764924
Title :
Using prediction to provide decision support for the elicitation of user preferences
Author :
Wanyama, Tom ; Far, Behrouz Homayoun
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.
fYear :
2005
fDate :
1-4 May 2005
Firstpage :
2076
Lastpage :
2079
Abstract :
In multi-criteria decision making problems such as selecting development policies, selecting software products, or searching for commodities to purchase, it is necessary to have a precise model of the user preferences. Studies have revealed that often people are unable to state their preferences up front, and that they start to evaluate solution alternatives with a small set of high-value preferences; but change the value of those preferences as they discovery other solution features which they can incorporate into their preference models (B. Faltings et al., 2004). While, a variety of preference elicitation models have been proposed, limited or no effort has been made to utilize historical data to provide decision support for the elicitation of user preferences. In this paper, we discuss using neural net to take advantage of historical data, and provide decision support for developing user preference models, as well as preference value functions; from a set of high-value preferences. Moreover, we report results of using our technique to elicit the user preferences for evaluating and selecting a commercial-off-the-shelf software component
Keywords :
decision making; decision support systems; neural nets; software packages; commercial-off-the-shelf software; multicriteria decision making problems; neural networks; preference elicitation models; user preferences; Application software; Computer networks; Decision making; Drives; Neural networks; Software quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2005. Canadian Conference on
Conference_Location :
Saskatoon, Sask.
ISSN :
0840-7789
Print_ISBN :
0-7803-8885-2
Type :
conf
DOI :
10.1109/CCECE.2005.1557396
Filename :
1557396
Link To Document :
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