A new hybrid approach for determining sector-specific risk factors in Turkish Straits: Fuzzy AHP-PRAT technique

Tonoğlu, Fatih; Atalar, Fuat; Başkan, İbrahim Burak; Yıldız, Serdar; Uğurlu, Özkan; Wang, Jin

doi:10.1016/j.oceaneng.2022.111280

Cited by 17 publications

(3 citation statements)

References 58 publications

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“…In this paper, a structural hierarchical model is set up for the problem of teacher recruitment in colleges and universities in order to quantitatively analyze the teachers in colleges and universities. Mainly, the hierarchical analysis method is used to derive the judgment matrix based on the scale values at each level of a, b, c, and d. The square root method is used to derive the weights of the employing departments in terms of moral character, professionalism, academic qualifications, and competence [30][31].…”

Section: Strategic Modeling Of Optimal Allocation Of University Teach...mentioning

confidence: 99%

Analysis of Challenges and Countermeasures for Higher Education Management in the Era of Big Data

Chen

2023

Applied Mathematics and Nonlinear Sciences

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This paper analyzes the factors affecting the efficiency value of human resource management in higher education by using the Tobit regression model, puts forward the hypotheses of the influencing factors, constructs a model of the factors affecting the efficiency of human resource utilization in higher education, and derives the specific correlation coefficients of the influencing factors. After examining the correlation between each dimension of teacher management culture in higher education and teachers’ organizational commitment and its dimensions using Pearson’s product-difference correlation method, the correlation between educational management and teachers’ teaching commitment is verified through the quantitative measurement of correlation analysis and linear regression analysis. Based on the decision tree algorithm and multiple linear regression method to predict the resource allocation of teachers’ positions, we constructed a model of human resource optimization and allocation strategy for college teachers and carried out the actual analysis of the utilization rate of resources for teachers’ positions and teachers’ schedules by genetic algorithm. Analysis obtained shows that selecting different population sizes for test results in teacher positions and teacher scheduling programs results in higher algorithm efficiency for populations between 30-50. When the value of the population is taken in the range of 30-50, the average time of the experiment is 60380.4ms-153199.2ms.

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Section: Strategic Modeling Of Optimal Allocation Of University Teach...mentioning

confidence: 99%

Analysis of Challenges and Countermeasures for Higher Education Management in the Era of Big Data

Chen

2023

Applied Mathematics and Nonlinear Sciences

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“…The quantified variable Very Large Ship could be further used in classical fuzzy systems or Fuzzy AHP to improve existing models or create new models that define Rule 7 adequately. Fuzzy AHP systems have been used in several recent studies as an alternative to classical fuzzy logic systems to describe the risk of collision [43][44][45]. Fuzzy AHP is used by Luo et al to describe collision risk using basic triangular membership functions, and the risk of collision is described by the variables DCPA and TCPA.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Expert Knowledge in Describing COLREGs Linguistic Variables

Kristić,

Žuškin

2024

JMSE

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The International Regulations for Preventing Collisions at Sea 1972 (COLREGs) have been the cornerstone of maritime navigation since their introduction. Knowledge and implementation of these rules are paramount in collision avoidance at sea. However, terms found in these rules are sometimes imprecise or fuzzy, as they are written by humans for humans, giving them some freedom in interpretation. The term Very Large Ship used in Rule 7 of the COLREGs is, by its nature, fuzzy. While human navigators understand this term’s meaning, it could be challenging for machines or autonomous ships to understand such an unprecise expression. Fuzzy sets could easily describe unprecise terms used in maritime navigation. A fuzzy set consists of elements with degrees of membership in a set, making them perfect for interpreting some terms where boundaries are unclear. This research was conducted among 220 navigational experts to describe linguistic variables used in maritime regulations. This research consists of an internationally distributed questionnaire. Membership data were collected with the adapted horizontal method, and the results were statistically analyzed, followed by regression analyses to describe the range and shape of membership functions. A conceptual model of the implementation of linguistic variables is presented. The novelty of this study derives from the data collecting, modeling, and quantification of the important but neglected linguistic term Very Large Ship based on a large number of navigational experts. The same quantification method could be easily used for other COLREGs linguistic variables, which could easily lift barriers to advances in intelligent solutions based on fuzzy sets. The obtained quantified fuzzy sets can be used in decision support or control systems used by conventional or autonomous ships in the future.

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“…It is a challenge for MASSs to coexist with common ships in a high interaction in channel systems. Tono glu et al provided the estimation of potential risks in the Turkish Straits through a Fuzzy AHP-PRAT method [24]. Christensen et al discussed the future potential of the northern sea route as a viable and less risky alternative way for shipping trade [25].…”

Section: Introductionmentioning

confidence: 99%

Formation of MASS Collision Avoidance and Path following Based on Artificial Potential Field in Constrained Environment

Chen

Gao

Kang

et al. 2022

JMSE

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It is essential to promote the intelligence and autonomy of Maritime Autonomous Surface Ships (MASSs). This study proposed an automatic collision-avoidance method based on an improved Artificial Potential Field (APF) with the formation of MASSs (F-MASSs). Firstly, the navigation environment model was constructed by the S-57 Electronic Navigation Chart (ENC) data in Tianjin Port. The Formation Ship State Parameter (FSSP) definition was proposed for the port environment under multiple constraints that considered the navigation conditions of the MASSs. The formation pattern transformation was settled by changing the formation ship state parameter. Considering the constraints of an ‘unmanned–manned’ encounter situation, the static obstacles, and the design of the channel area improved artificial potential method for the formation. Finally, the simulation experiment was carried out in the sea near Tianjin Port to verify the effectiveness of the algorithm under multiple constraints. The results indicate that the method can satisfy the integrated operation of collision avoidance and path following in a constrained environment, and it can support the application of merchant F-MASS autonomous navigation in the future.

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A new hybrid approach for determining sector-specific risk factors in Turkish Straits: Fuzzy AHP-PRAT technique

Cited by 17 publications

References 58 publications

Analysis of Challenges and Countermeasures for Higher Education Management in the Era of Big Data

Analysis of Challenges and Countermeasures for Higher Education Management in the Era of Big Data

Quantification of Expert Knowledge in Describing COLREGs Linguistic Variables

Formation of MASS Collision Avoidance and Path following Based on Artificial Potential Field in Constrained Environment

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