How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach

Li, Jianping; Bao, Chunbing; Wu, Dengsheng

doi:10.1111/risa.12810

Cited by 55 publications

(36 citation statements)

References 24 publications

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“…This "continuum" approach was necessary as essential empirical data are notoriously difficult to compile for a large number of the species we worked on (e.g., control cost across differing landscape/land use types, IAS density at local and regional levels, or IAS impact on biodiversity, human health and societal economy are not readily available) (Barney et al, 2013;Jardine and Sanchirico, 2018). Also designing and standardization for reliability of risk matrices is still in its infancy (Li et al, 2018). Thus the matrix system at best categorises species into fuzzy management action classes.…”

Section: Discussionmentioning

confidence: 99%

Management feasibility of established invasive plant species in Queensland, Australia: A stakeholders’ perspective

Osunkoya

Froese

Nicol

2019

Journal of Environmental Management

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Managing and monitoring invasive alien species (IAS) is costly, and because resources are limited, prioritization decisions are required for planning and management. We present findings on plant pest prioritization for 63 established invader species of natural and grazing ecosystems of Queensland, Australia. We used an expert elicitation approach to assess risk (species occurrence, spread, and impact) and feasibility of control for each IAS. We elicit semi-quantitative responses from diverse expert stakeholders to score IAS on three management approaches (biocontrol, chemical and mechanical) in relation to cost, effectiveness and practicality, and incorporate uncertainty in expert inputs and model outputs. In the process, we look for promising management opportunities as well as seek general trends across species' ecological groups and management methods. Stakeholders were cautiously optimistic about the feasibility of managing IAS. Taking into consideration all factors, the overall feasibility of control was uncorrelated with the stakeholders' level of confidence. However, within individual management criterion, positive trend was observed for the same bivariate traits for chemical control, and negative trends for biocontrol and mechanical controls. Utility and confidence in IAS management options were in the order: chemical > biocontrol = mechanical, with practicality and effectiveness being the main driver components. Management feasibility differed significantly between IAS life forms but not between habitats invaded. Lastly, we combined IAS risk assessment and management feasibility scores to create a risk matrix to guide policy goals (i.e. eradication, spread containment, protection of sensitive sites, targeted control, site management, monitoring, and limited action). The matrix identifies promising species to target for each of these policy outcomes. Overall, our general approach illustrates (i) the importance of understanding the feasibility of IAS control actions and the factors that drive it, and (ii) demonstrates how quantifying management feasibility can be used to enhance traditional risk assessment rankings to improve policy outcomes.

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Section: Discussionmentioning

confidence: 99%

Management feasibility of established invasive plant species in Queensland, Australia: A stakeholders’ perspective

Osunkoya

Froese

Nicol

2019

Journal of Environmental Management

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“…Rule D: If 16 < x ≤ 25, then the magnitude is very high ⇒ the respective risk should be mitigated, where x is the newly-calculated weights of the respective risk using linear interpolation technique. It is notable to mention that the range of the numbers used within the range of common risk matrix are adopted from (Li et al, 2018). Once the suitable evaluation strategies for all the risks have been determined, the safety experts handling the project need to consider the following issues:…”

Section: Evaluation Strategiesmentioning

confidence: 99%

Assessing Construction Labours’ Safety Level: A Fuzzy McDm Approach

Mohandes

Sadeghi

Mahdiyar

et al. 2020

Journal of Civil Engineering and Management

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Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers' safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

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“…Risk analysis is in some ways a much broader field than decision analysis (encompassing, for example, biological and engineering modes of analysis, and many of the social sciences, in addition to purely mathematical approaches). However, decision analysis has through the years contributed to bring extra levels of rigor to risk-analysis practice, as seen above in the work on risk matrices by Ruan et al (2015) and Li et al (2018).…”

Section: Concluding Observationsmentioning

confidence: 99%

The Role of Decision Analysis in Risk Analysis: A Retrospective

Bier

2020

Risk Analysis

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In commemorating the 40th anniversary of Risk Analysis, this article takes a retrospective look at some of the ways in which decision analysis (as a "sibling field") has contributed to the development both of the journal, and of risk analysis as a field. I begin with some early foundational papers from the first decade of the journal's history. I then review a number of papers that have applied decision analysis to risk problems over the years, including applications of related methods such as influence diagrams, multicriteria decision analysis, and risk matrices. The article then reviews some recent trends, from roughly the last five years, and concludes with observations about the parallel evolution of risk analysis and decision analysis over the decades-especially with regard to the importance of representing multiple stakeholder perspectives, and the importance of behavioral realism in decision models. Overall, the extensive literature surveyed here supports the view that the incorporation of decision-analytic perspectives has improved the practice of risk analysis.

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How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach

Cited by 55 publications

References 24 publications

Management feasibility of established invasive plant species in Queensland, Australia: A stakeholders’ perspective

Management feasibility of established invasive plant species in Queensland, Australia: A stakeholders’ perspective

Assessing Construction Labours’ Safety Level: A Fuzzy McDm Approach

The Role of Decision Analysis in Risk Analysis: A Retrospective

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