Integer programming model for Generation Expansion Planning problem under fuzzy environment

Abass, Samir A.; Mervat, Zaki S.; Abdallah, Asmaa

doi:10.1080/17509653.2011.10671180

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…This model can be used in hybrid models to increase the efficiency of the models. Whereas the results of hybrid models (Jamshidi 2019;Mohebbi Tafreshi et al 2020b, 2021aPouramraei et al 2020) show higher efficiency and accuracy than non-hybrid models, especially in combination with fuzzy models (Abass et al 2011;Moghassem and Fallahpour 2013) and also both AHP and fuzzy models have good acceptance and efficiency for many researchers, in this study, the combined form of these two models were used to evaluate and to zone the risk in the oil transmission line. The advantage of such hybrid forms is that they can compensate for the shortcomings and limitations of using non-hybrid models and enjoy both hybrid methods advantages (Mohebbi Tafreshi et al 2020a).…”

Section: Introductionmentioning

confidence: 87%

Investigation and zoning of geo-environmental risk around the western edge of Khareshk village's oil transmission line, Iran

Tafreshi

2021

Earth Sci Inform

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In this study, for the first time in Iran and especially in the northern regions of the country, risk assessment was performed in oil transmission lines. For this purpose, a combined approach based on the analytical hierarchy process (AHP) and fuzzy methods were used. Based on this and in the first stage, eight main criteria of distance from the oil transmission line, distance from faults, distance from springs, slope percentage, aspect, geo units, distance from landslide and creep, and stream density were identified. In the second stage, using the AHP method, the research problem became hierarchical. In the third stage, by performing pairwise comparisons between the categories of the main criteria, weights and incompatibility coefficients were obtained for each pair of comparisons. Finally, for the weighted maps' overlay, a fuzzy overlay function in the ArcGIS software was used. According to the final map, 9.39% of the area is in the "very high" risk category and 21.95% in the "high" category. Accordingly, the southern areas of the study area have the highest risk levels, and the southern and eastern areas of the mine located in the study area need more attention and review of the method of extraction from the mine.

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