Title: Automated decision making based on weak orderings

Authors: Sylvia Encheva

Addresses: Faculty of Technology, Business and Maritime Sciences, Stord/Haugesund University College, Bjørnsonsg, 45, 5528 Haugesund, Norway

Abstract: Ranking of help functions with respect to their usefulness is in the main focus of this work. A help function is regarded as useful to a student if the student has succeeded to solve a problem after using it. Methods from the theory of partial orderings are further applied facilitating an automated process of suggesting individualised advises on how to proceed in order to solve a particular problem. The decision making process is based on the common assumption that if given a choice between two alternatives, a person will choose one. Thus, obtained partial orderings appeared to be all linear orders since each pair of alternatives is compared. In this paper, we propose ranking help functions in an intelligent tutoring system with respect to their usefulness.

Keywords: decision support systems; DSS; uncertainty management; partial orderings; automated decision making; weak orderings; help functions; problem solving; intelligent tutoring systems; ITS.

DOI: 10.1504/IJIIDS.2012.045114

International Journal of Intelligent Information and Database Systems, 2012 Vol.6 No.1, pp.30 - 44

Received: 16 Jun 2010
Accepted: 06 Dec 2010
Published online: 16 Aug 2014 *

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