DocumentCode :
2042322
Title :
A GAHP approach for probability elicitation for influence diagrams
Author :
Hu, Xiaoxuan ; Xie, Xianli ; Luo, He
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2563
Lastpage :
2566
Abstract :
During the process of building influence diagrams for real-world decision analysis, the most challenging task is probability elicitation from domain experts. Many human experts are used to describing probabilities by verbal or other inexactness expressions. It is hard for them to directly provide numerical probabilities. In this paper, we deal with this issue by using the Group Analytic Hierarchy Process(GAHP), which allows a group of experts to assess probabilities by making pairwise comparisons among mutually exclusive and collectively exhaustive events. The adoption of GAHP not only offer a convenience way to make judgement, but also improve the accuracy of the probabilities by combining multiple experts´ opinions. We give the detailed steps of the elicitation process and finally use this approach to construct the influence diagram for decision making for college student recruitment.
Keywords :
decision diagrams; decision making; decision theory; expert systems; knowledge acquisition; matrix algebra; probability; GAHP approach; domain expert; group analytic hierarchy process; human expert; influence diagram; multiple expert opinion; numerical probability; pairwise comparison; probability elicitation; real world decision analysis; Bayesian methods; Buildings; Chromium; Decision making; Educational institutions; Random variables; Influence diagrams; group analytic hierarchy process; judgment matrix; probability elicitation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569835
Filename :
5569835
Link To Document :
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