A comparison of representations for discrete multi-criteria decision problems

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A comparison of representations for discrete multi-criteria decision problems
Abstract: Discrete multi-criteria decision problems with numerous Pareto-efficient solution candidates place a significant cognitive burden on the decisionmaker. An interactive, aspiration-based search process that iteratively progresses toward themost preferred solution can alleviate this task. In this paper,we study threeways of representing such problems in a DSS, and compare them in a laboratory experiment using subjective and objective measures of the decision process as well as solution quality and problem understanding. In addition to an immediate user evaluation, we performed a re-evaluation severalweeks later. Furthermore,we consider several levels of problemcomplexity and user characteristics. Results indicate that different problem representations have a considerable influence on search behavior, although long-termconsistency appears to remain unaffected.We also found interesting discrepancies between subjective evaluations and objective measures. Conclusions from our experiments can help designers of DSS for large multi-criteria decision problems to fit problem representations to the goals of their system and the specific task at hand.
Keywords:	Multi-criteria decision analysis Visualization Parallel coordinates Heatmaps
Author(s):	.
Source:	Decision Support Systems 54 (2013) 976–985
Subject:	تصمیم گیری
Category:	مقاله مجله
Release Date:	2012
No of Pages:	10
Price(Tomans):	0
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