@article { author = {Ikwan, Favour and Sanders, David and Haddad, Malik}, title = {A Combined AHP-PROMETHEE Approach for Intelligent Risk Prediction of Leak in a Storage Tank}, journal = {International Journal of Reliability, Risk and Safety: Theory and Application}, volume = {3}, number = {2}, pages = {55-61}, year = {2020}, publisher = {Aerospace Research Institute, Ministry of Science, Research and Technology, IRAN}, issn = {2676-3346}, eissn = {2676-3346}, doi = {10.30699/IJRRS.3.2.7}, abstract = {This paper describes the use of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method for predicting the risk of leakage in a storage tank. This is the first time AHP and PROMETHEE have been used in this way. Important decisions about day to day operations are continually made in a petroleum environment. Storage tanks in refineries contain large volumes of flammable and hazardous liquids. Decision processes need to evaluate and select alternatives with a higher probability of resulting in a hazard, among many different alternatives. The new model described in this paper will aid decision-makers to predict which tank is likely to develop a leak and determine what criteria (source of risk) could result in a leak. Although the case study deals with a specific risk prediction problem, the combination of AHP and PROMETHEE methods can be applied to other decision problems.}, keywords = {AHP,Decision Making,Multi-criteria analysis,PROMETHEE,risk prediction}, url = {http://www.ijrrs.com/article_119488.html}, eprint = {http://www.ijrrs.com/article_119488_24af8b5c6797762756a66c16c5a61af4.pdf} }