Related Experiment Video
Updated: Jan 19, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Data and calculation approach of the fuzzy AHP risk assessment of a large hydroelectric project
José Roberto Ribas1, María Elena Arce2, Flávio Augusto Sohler3
1University of Rio de Janeiro, Brazil.
Abstract:
This data article employs the Fuzzy Analytic Hierarchy Process (FAHP) to perform the project risk assessment in a phase of the construction of a large hydroelectric project. The list of service packs and risk events was extracted from in-depth interviews and content analysis with experts. Such qualitative data were used to identify the relevant service pack and risk event indicators for two groups - the owner's and the builder's representatives - required to specify the model. FAHP was used to calculate the relative importance of such indicators in two stages. First the relevance of the service packs was measured through paired comparisons and then weighted. Next, the relevance of the risk events associated with each service pack was assessed through the same method. A complete method of calculation for one of the respondents is presented. At the end, the average weights for the risk events of the two groups are calculated. For further information it is recommended to read the article entitled "Multi-criteria risk assessment: Case study of a large hydroelectric project" (Ribas et al., 2019).
Related Concept Videos
19:15Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
04:57Establishing a Competing Risk Regression Nomogram Model for Survival Data
15:18Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
Chemical Equilibria: Systematic Approach to Equilibrium Calculations
The first step is to identify all the chemical reactions involved, The...
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
07:42A Data-Driven Approach to Quantifying Immune States in Sepsis

