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Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE

Journal of Intelligence Studies in Business

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Field Value
 
Title Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE
 
Creator Maadi, Mansoureh
Javidnia, Mohammad
Khatami, Malihe
 
Subject Business Intelligence
Business intelligence, enterprise systems, Fuzzy PROMETHEE, fuzzy theory, PROMETHEE
 
Description In this paper, a new model to evaluate business intelligence (BI) for enterprisesystems is presented. Evaluation of BI before making decisions about buying and deploymentcan be an important decision support system for managers in organizations. In this paper, asimple and practical method is presented that evaluates BI for enterprise systems. In this way,after reviewing different papers in the literature, 34 criteria for BI specifications aredetermined, and then by applying fuzzy PROMETHEE, different enterprise systems areranked. To continue to assess the proposed model and as a case study, five enterprise systemswere selected and ranked using the proposed model. The advantages of PROMETHEE overother multi-criteria decision making methods and the use of fuzzy theory to deal withuncertainty in decision making is assessed and it is found that the proposed model can be auseful and applied method to help managers make decisions in organizations.
 
Publisher Journal of Intelligence Studies in Business
 
Contributor —
 
Date 2016-12-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
empirical
 
Format application/pdf
 
Identifier https://ojs.hh.se/index.php/JISIB/article/view/195
 
Source Journal of Intelligence Studies in Business; Vol 6, No 3 (2016): Journal of Intelligence Studies in Business
2001-015X
2001-0168
 
Language eng
 
Relation https://ojs.hh.se/index.php/JISIB/article/view/195/155
 
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