Affiliations: [a] LAMIS Laboratory, Department of Mathematics and Computer Science, University of Tebessa, Tebessa, Algeria | [b] Department of Accounting, Southeast Missouri State University, Cape Girardeau, MO, USA
Correspondence:
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Correspondence to: Mohamed Ridda Laouar, LAMIS Laboratory, Department of Mathematics and Computer Science, University of Tebessa, Tebessa, Algeria. Tel.: +213 66 861 1181; Fax: +213 37 484 196; E-mail: [email protected] and Sean B. Eom, Department of Accounting, Southeast Missouri State University, Cape Girardeau, MO, USA. [email protected]
Abstract: This paper proposes a Cloud based multiple criteria decision support system (DSS) for Selecting Urban Housing Sustainable Development Projects in order to help the decision makers to choose the best urban project with conflicting criteria. The DSS is deployed on a platform Cloud (CloudBees) and managed by the OpenStack infrastructure. The Cloud based multiple criteria DSS we designed and implemented has significant advantages. It reduces the deployment and processing time, ameliorates the communication and the cooperation between the decision makers, facilitates the accessibility, and decrease the cost. The DSS is built on the Cloud Computing architecture with three layers and includes the multiple criteria decision making (MCDM) method PROMETHEE II as well as the procedure of negotiation Hare in order to help the decision makers to select the best urban project.
Keywords: Cloud computing, decision support system (DSS), multiple criteria decision making (MCDM), sustainable local development, urban housing development
