Analysis of Draught Survey Errors by Extended Fuzzy Analytic Hierarchy Process

Canımoğlu, Refik; Yıldırım, Umut; İnegöl, Gani Mustafa

doi:10.4274/jems.2021.64872

Cited by 6 publications

(2 citation statements)

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“…Al [8] studied the problem of selecting organic food sellers and used fuzzy hierarchical analysis 1 to identify the most credible sellers. Canmolu et al [9] developed a fuzzy hierarchical analysis questionnaire based on previous studies and combined with expert opinions.…”

Section: Related Workmentioning

confidence: 99%

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Cai,

Xia,

Zhu

et al. 2024

International Journal of Power and Energy Systems

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With the increasing requirements of society for energy conservation and emission reduction, electricity is seen as an important energy supply method to promote energy conservation and emission reduction. The study combines hierarchical analysis, rough set theory and fuzzy comprehensive evaluation method to propose a new power system operation effectiveness assessment method based on improved fuzzy hierarchical analysis. The study uses Institute of Electrical and Electronics Engineers Power & Energy Society (IEEE PES) Power System Test Cases Data Set, Power System Analysis Toolbox and GridLAB-D Test Cases as the objects of the study. The distribution is more distinctive and hierarchical. The results show that after the application of the model proposed by the research institute, the overall generation efficiency has been significantly improved. All sampling times have exceeded 85.5%, and most of them are concentrated at about 88%. At the same time, the proposed model runs only 22.17 s, which is more efficient, and the overall correlation is as high as 0.97097. The fit degree is very high, which proves high training accuracy. Overall, this study contributes to the development of smart grid technology and the improvement of power system operation and management.

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Section: Related Workmentioning

confidence: 99%

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Cai,

Xia,

Zhu

et al. 2024

International Journal of Power and Energy Systems

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“…Inaccuracy in determining the quantity of coal through draught surveys is influenced by many things, especially draught readings on ship hulls which experience many limitations in readings on offshore draught, unfavorable natural conditions (sea waves, rain, Denny Murdany Muchsin, PT PLN (Persero), Learning and Training Unit, Indonesia, E-mail: d3nny354@gmail.com Rahmat Setya Darmawan, PT PLN (Persero), Power Plant Unit, Indonesia, E-mail: rahmaddonat@gmail.com etc. ), and surveyors' experience/competence [3]- [5]. The draught mark installed on the hull of the ship should be in good paint condition and easy to read [6].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Evaluation of Draught Survey Through Correlation Test of Quarter Mean: A Case Study on a Coal Bulk Carrier

Muchsin,

Darmawan

2023

IJMEIR

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⎯ Complicated draught survey activities both at the data collection stage and the calculation stage, especially at sea, make it difficult for surveyors to accurately inform coal cargo volumes. However, in practice, most coal bulk-carrier surveyors can provide precise information on coal cargo volumes between ports up to a difference of less than 0.5%. This difference is not enough to be used as the only parameter in supervising draught survey activities. More effective monitoring needs to be done so that data reliability can be validated. This study aims to propose a new method of off-site surveillance of draught survey activities through correlation tests with a case study on a bulk-carrier ship less than 10 years old in all coal shipments at one of coal-fired power plant during year 2021. The results of the study show that based on the correlation test of Pearson (2-tailed), Spearman (2-tailed), and Kendall (2-tailed), during coal shipments in 2021 both at loading ports and at unloading ports, the interpretation of the quarter-mean as independent variable is at least strongly correlated with both displacement and displacement corrected for density, while the correlation of quarter mean with both net displacement and constant is not significant (negligible).

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Assessment of human factor contribution to risk analysis of chemical cargo shortage incidents by using intuitionistic fuzzy integrated fault tree analysis

Senol

2024

Ocean Engineering

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Analysis of Draught Survey Errors by Extended Fuzzy Analytic Hierarchy Process

Cited by 6 publications

References 0 publications

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Design of a Risk Model and Analytical Decision Information System for Power Operation in the Context of Smart Grid, 1-9.

Quantitative Evaluation of Draught Survey Through Correlation Test of Quarter Mean: A Case Study on a Coal Bulk Carrier

Assessment of human factor contribution to risk analysis of chemical cargo shortage incidents by using intuitionistic fuzzy integrated fault tree analysis

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