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Solomon Tesfamariam

Researcher at University of British Columbia

Publications -  235
Citations -  5899

Solomon Tesfamariam is an academic researcher from University of British Columbia. The author has contributed to research in topics: Seismic risk & Engineering. The author has an hindex of 37, co-authored 200 publications receiving 4358 citations. Previous affiliations of Solomon Tesfamariam include University of Bristol & University of Ottawa.

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A review of multi-criteria decision-making methods for infrastructure management

TL;DR: A comprehensive review on the application of multi-criteria decision-making (MCDM) literature in the field of infrastructure management is presented in this paper, which identifies trends and new developments in MCDM methods.
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Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis

TL;DR: In this article, a fuzzy logic is employed to derive fuzzy probabilities of basic events in fault tree and to estimate fuzzy probabilities ( likelihood ) of output event consequences, which can help professionals to decide whether and where to take preventive or corrective actions and help informed decision-making in the risk management process.
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Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP)

TL;DR: The traditional AHP is modified to fuzzy AHP using fuzzy arithmetic operations and the concept of risk attitude and associated confidence of a decision maker on the estimates of pairwise comparisons are discussed.
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Evaluating risk of water mains failure using a Bayesian belief network model

TL;DR: A Bayesian Belief Network model is presented to evaluate the risk of failure of metallic water mains using structural integrity, hydraulic capacity, water quality, and consequence factors to justify proper decision action for maintenance/rehabilitation/replacement (M/R/R).
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Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP)

TL;DR: In this article, the concept of intuitionistic fuzzy set is applied to AHP, called IF-AHP to handle both vagueness and ambiguity related uncertainties in the environmental decision-making process, which is demonstrated with an illustrative example to select best drilling fluid (mud) for drilling operations under multiple environmental criteria.