6533b870fe1ef96bd12cf07e
RESEARCH PRODUCT
Cloudy with a Chance of Fuzzy: Building a Multicriteria Uncertainty Model for Construction Project Delivery Selection
Hector MartinTimothy Michael LewisAndrew PetersenEverson J. Peterssubject
EngineeringOperations researchManagement scienceIntegrated project deliverybusiness.industryProcess (engineering)0211 other engineering and technologies02 engineering and technologyVariance (accounting)Fuzzy logicComputer Science ApplicationsProcurementOrder (exchange)021105 building & construction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessRepresentation (mathematics)RandomnessCivil and Structural Engineeringdescription
AbstractThe process of choosing a project delivery method is infused with cognitive uncertainties associated with the decision maker. Fuzzy uncertainties arise because of imprecise understanding and subsequent representation of these uncertainties by the decision maker, whereas random uncertainties arise from variance of these imprecisions. Since there are no well-defined rules for spontaneous decisions, in order to be consistently confident in the appropriateness of the chosen delivery method, a structured approach incorporating uncertainty is required. Previously unanswered questions such as (1) what are the sources of uncertainty in project delivery decisions, (2) how do decision makers conceptualize uncertainties, and (3) how the use of existing models increase or decrease uncertainty, were investigated. The answer to these questions revealed that while fuzziness has been accounted for in present procurement theory, the modeling of randomness has been neglected. Therefore, a forward normal cloud model...
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-01 | Journal of Computing in Civil Engineering |