Web support system for group collaborative decisions

Rigopoulos, G; Psarras, J; Askounis, DTh

dc.contributor.author	Rigopoulos, G	en
dc.contributor.author	Psarras, J	en
dc.contributor.author	Askounis, DTh	en
dc.date.accessioned	2014-03-01T01:29:29Z
dc.date.available	2014-03-01T01:29:29Z
dc.date.issued	2008	en
dc.identifier.issn	18125654	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19278
dc.subject	Group decision support	en
dc.subject	Multicriteria analysis	en
dc.subject	OWA operator	en
dc.title	Web support system for group collaborative decisions	en
heal.type	journalArticle	en
heal.identifier.primary	10.3923/jas.2008.407.419	en
heal.identifier.secondary	http://dx.doi.org/10.3923/jas.2008.407.419	en
heal.publicationDate	2008	en
heal.abstract	In this research we present a Group Decision Support System (GDSS) based on web technology, which can be used in asynchronous mode from group members. It supports small collaborative groups in classification decisions, implementing a supervised multicriteria methodology. A facilitator, who defines necessary parameters and initiates the procedure, coordinates the entire operation. Next, members evaluate the proposed parameter set and express their preferences in numeric format. Aggregation of individuals preferences is executed at the parameter level by utilization of OWA operator and a group parameter set is produced which is used as input for the classification algorithm. A multicriteria classification algorithm is used for the classification of actions (people, projects etc.). Finally, group members evaluate results and consensus as well as satisfaction indexes are calculated. In case of low acceptance level parameters are redefined and aggregation phase is repeated. The system has been utilized effectively to solve group classification problems in business environment. The overall architecture as well the methodology is presented, along with a sample application. Empirical findings from GDSS application and the methodology provide evidence that it is a valid approach for similar decision problems in numerous business environments, including production, human resources and operations. ©2008 Asian Network for Scientific Information.	en
heal.journalName	Journal of Applied Sciences	en
dc.identifier.doi	10.3923/jas.2008.407.419	en
dc.identifier.volume	8	en
dc.identifier.issue	3	en
dc.identifier.spage	407	en
dc.identifier.epage	419	en