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dc.contributor.advisorMohamed, Sherif
dc.contributor.authorAlsulami, Badr Tameenen_US
dc.date.accessioned2018-01-23T02:30:16Z
dc.date.available2018-01-23T02:30:16Z
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/10072/366495
dc.description.abstractSustainable development (SD) is a concept with multi-dimensional aspects. Through a pattern of resource use, SD aims to enhance both economic and social growth, while minimizing negative environmental impacts. Vital contributors to SD are the civil infrastructure systems (CIS) which have a huge impact on the spatial and temporal dimensions. Examining the performance sustainability of CIS requires an interdisciplinary approach involving engineering, environmental, economic and social sciences. This hard and complex process necessitates a proper assessment of the diverse conditions under which the CIS operates. As a result, many attempts have been made to develop sustainability performance assessment models for CIS. Nevertheless, all of these models have failed to provide a practical assessment model that has the capability to manage two key facts underpinning the sustainable development concept, namely, the interaction between the sustainability components, and the uncertainty problem that might occur at any different phase of the decision making process. The latter is due to the lack of either information or constraints in human thinking. This thesis presents a new assessment model that would overcome the limitations of previous assessment models. It provides a novel sustainability assessment model that has the capability to consider system complexity through modelling the interaction among the sustainability indicators (SIs), and integrating uncertainty analysis into the overall approach.en_US
dc.languageEnglishen_US
dc.publisherGriffith Universityen_US
dc.publisher.placeBrisbaneen_US
dc.rights.copyrightThe author owns the copyright in this thesis, unless stated otherwise.en_US
dc.subject.keywordsSustainable developmenten_US
dc.subject.keywordsCivil infrastructure systemsen_US
dc.subject.keywordsHybrid fuzzy modellingen_US
dc.titleIncorporating Complexity and Uncertainty into Appraising Sustainability of Civil Infrastructure Systems: Hybrid Fuzzy Modelling Approachen_US
dc.typeGriffith thesisen_US
gro.facultyScience, Environment, Engineering and Technologyen_US
gro.hasfulltextFull Text
dc.contributor.otheradvisorSipe, Neil
dc.rights.accessRightsPublicen_US
gro.identifier.gurtIDgu1368659312451en_US
gro.source.ADTshelfnoADT0en_US
gro.source.GURTshelfnoGURTen_US
gro.thesis.degreelevelThesis (PhD Doctorate)en_US
gro.thesis.degreeprogramDoctor of Philosophy (PhD)en_US
gro.departmentGriffith School of Engineeringen_US
gro.griffith.authorAlsulami, Badr T.


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