American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.1, No.2, Jul. 2015, Pub. Date: Jul. 9, 2015
A Group Decision Support System for Collaborative Decisions within Business Intelligence Context
Pages: 84-93 Views: 2055 Downloads: 1493
[01] George Rigopoulos, Department of Informatics, Technological Educational Institute of Athens, Athens, Greece.
In this work we present a web based Group Decision Support System, which can be integrated within a firm’s Business Intelligence (BI) architecture to support decisions in small collaborating teams. It is based on web technology and can be used in asynchronous mode from group members. It implements a multicriteria methodology for classification decisions where aggregation of members’ preferences is executed at parameter level. Individual preferences are aggregated by appropriate operators, and a group parameter set is produced which is used as input for the classification algorithm. NeXClass multicriteria classification algorithm is used for the classification of alternatives, initially at a training set of alternatives and later at the entire set. Group members evaluate results, and consensus as well as satisfaction metrics are calculated. In case of low acceptance level, problem parameters are redefined by group members and aggregation phase is repeated. The system has been utilized to solve real world group classification problems, integrated to Business Intelligence environment supporting mainly financial decisions. Empirical findings provide evidence that the approach is valid for decision support in numerous business environments, and the GDSS can be a valuable tool for enhancing a BI framework with advanced decision capabilities.
Group Decision Support Systems, NeXClass Methods, Multicriteria Classification, Business Intelligence
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