2022
DOI: 10.1108/jm2-10-2021-0242
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Modeling factors affecting the interests of the container terminal using fuzzy cognitive map and fuzzy DEMATEL

Abstract: Purpose Because container terminals (CTs) are broker organizations, their interest has complex, various internal and external factors, the purpose of this study is to scrutiny and structure the factors affecting the interests of the CT. Design/methodology/approach In terms of purpose, this study is a developmental study that, are identified the factors related to the interests of the CT through studying the library and interviewing experts and then the degree of influence of each factor on each other by usin… Show more

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Cited by 4 publications
(2 citation statements)
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“…After identifying the elements, each influence degree was quantified by questioning CT experts. A fuzzy cognitive map was drawn after the feedback loop was calculated using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique [85]. Researchers applied soft and hard OR techniques to estimate the relative importance of factors influencing financial reporting reliability.…”
Section: Literature Reviewmentioning
confidence: 99%
“…After identifying the elements, each influence degree was quantified by questioning CT experts. A fuzzy cognitive map was drawn after the feedback loop was calculated using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique [85]. Researchers applied soft and hard OR techniques to estimate the relative importance of factors influencing financial reporting reliability.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The fuzzy DEMATEL method was used to identify factors that affect the interests of container terminals, including centrality, quality of service, and efficiency. Lastly, a study compared stacking strategies of "ordered" and "random" for proper slot assignment, assuming containers of the same size and type but with different weights (Khajeh and Shahbandarzadeh, 2022;Lawrence and Chwan-Kai, 2001). Janith et al (2021) studied the real time yard planning decisions impact using a model with rule-based system to identify precise yard locations for containers arriving.…”
Section: Introductionmentioning
confidence: 99%