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Yao Zhang

Researcher at Northeastern University (China)

Publications -  7
Citations -  536

Yao Zhang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Random variable & Risk analysis (business). The author has an hindex of 6, co-authored 7 publications receiving 434 citations.

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Risk decision analysis in emergency response: A method based on cumulative prospect theory

TL;DR: A risk decision analysis method based on cumulative prospect theory (CPT) is proposed to solve the risk decision-making problem in emergency response by aggregating the prospect value and the cost of each response action.
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An optimization method for selecting project risk response strategies

TL;DR: Wang et al. as discussed by the authors proposed a novel method for solving the risk response strategy selection problem in project risk management, which integrates three critical elements that are the project cost, project schedule and project quality by solving the model, the optimal solution could be obtained so that the most desirable risk response strategies to cope with the risk events can be determined.
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Selecting risk response strategies considering project risk interdependence

TL;DR: Based on the analysis of the risk interdependence, Wang et al. as discussed by the authors constructed an optimization model for selecting risk response strategies considering the expected risk loss, risk inter-dependence and its two directions.
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A method based on stochastic dominance degrees for stochastic multiple criteria decision making

TL;DR: A novel method based on the Stochastic dominance degree (SDD) is proposed to solve a discrete stochastic multiple criteria decision-making (MCDM) problem using the simple additive weighting method.
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A method for stochastic multiple criteria decision making based on dominance degrees

TL;DR: This paper proposes a method for solving the stochastic multiple criteria decision making (SMCDM) problem, where consequences of alternatives with respect to criteria are represented by random variables with probability distributions.