An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning

Wang, Yangjun; Zhang, Ren; Qian, Longxia

doi:10.3390/sym10120765

Cited by 23 publications

(10 citation statements)

References 57 publications

(64 reference statements)

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“…A new route planning algorithm called HFS-A* algorithm (M3) is incorporated in this paper to handle the large uncertainties existing in future Arctic route planning ( 29 ). Compared with the traditional A* algorithm, this HFS-A* algorithm incorporates the hesitant fuzzy set theory to measure the navigability of the NSR with multiple climate models and to plan the optimal route based on multiple criteria including the shortest sailing time, the minimum uncertainty of sea ice and the most convenient access to coastal ports.…”

Section: Case Studymentioning

confidence: 99%

Framework for Economic Potential Analysis of Marine Transportation: A Case Study for Route Choice Between the Suez Canal Route and the Northern Sea Route

Wang

Zhang

Liu

et al. 2023

Transportation Research Record: Journal of the Transportation R

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This paper presents a new framework for economic analysis of marine transportation, where uncertainty is given more attention than in the current research. A new quantitative method combined with the importance ranking method is used to access the uncertainty of evidence and for fusion of evidence from multiple sources. The Bayesian network model is chosen as a tool to convey the uncertainty from one variable to another variable. Finally, with the help of information flow method, key factors are selected for sensitivity analysis. This framework is applied to a case study of maritime transportation from Shanghai to Rotterdam, aiming to investigate the economic potential of the Arctic routes and to explore the possibility of Arctic routes as a substitute for the traditional routes. A well-trained Bayesian network shows that the traditional routes will still dominate marine transportation in the near future. Sensitivity analysis reveals the asymmetric impact of key factors on the plan choice.

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Section: Case Studymentioning

confidence: 99%

Framework for Economic Potential Analysis of Marine Transportation: A Case Study for Route Choice Between the Suez Canal Route and the Northern Sea Route

Wang

Zhang

Liu

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…For Arctic weather routing, in addition to considering the above navigation speed and navigation costs, the security of navigation is clearly of paramount importance. As a result of the unique geographical environment of the Arctic region, apart from the (Somanathan et al, 2009) Ice class +10-35%; +20%; +25%; +30%; +30%; +36% (Zhang et al, 2016;Kiiski, 2017;Wang et al, 2018) Ice class Derived based on the data from Clarkson's World Fleet Register (Solakivi et al, 2019) *According to the approximate equivalence of ice class classification systems, PC6 is equal to IAS and PC7 is equal to IA.…”

Section: Polar Navigation Safetymentioning

confidence: 99%

Arctic weather routing: a review of ship performance models and ice routing algorithms

Liu,

Wang,

Zhang

et al. 2023

Front. Mar. Sci.

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With the accelerated melting of the Arctic sea ice, the opening of the Northeast Passage of the Arctic is becoming increasingly accessible. Nevertheless, the constantly changing natural environment of the Arctic and its multiple impacts on vessel navigation performance have resulted in a lack of confidence in the outcomes of polar automated route planning. This paper aims to evaluate the effectiveness of two distinct models by examining the advancements in two essential components of e-navigation, namely ship performance methods and ice routing algorithms. We also seek to provide an outlook on the future directions of model development. Furthermore, through comparative experiments, we have examined the existing research on ice path planning and pointed out promising research directions in future Arctic Weather Routing research.

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“…HFSs are quite helpful in cases where decision-makers hesitate to ensure their preferences in a decision-making process. Hesitant fuzzy sets and intuitionistic fuzzy sets have been applied in various fields (e.g., [77][78][79][80][81][82][83][84]).…”

Section: Hesitant Fuzzy Set (Hfs)mentioning

confidence: 99%

Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem

Yalçın

Pehlivan

2019

Symmetry

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Fuzzy multi-criteria decision-making (MCDM) methods are useful and reliable for multi-criteria selection problems under uncertain and imprecise situations. In these methods, if decision-makers hesitate among several linguistic terms, hesitant fuzzy linguistic term sets (HFLTSs), represented by a set of successive linguistic terms instead of single linguistic terms, may be more appropriate to make evaluations. The notion of a fuzzy envelope for the HFLTSs is a beneficial tool that can be directly applied to fuzzy MCDM methods to elicit comparative linguistic expressions (CLEs). The aim of this study is to present a methodology that combines the fuzzy CODAS (COmbinative Distance-based Assessment) method with the fuzzy envelope of HFLTs based on CLEs to solve a personnel selection problem. In order to examine the feasibility of the presented methodology, a case study on blue-collar personnel selection in a manufacturing firm is conducted. A sensitivity analysis is performed to demonstrate the stability and validity of the ranking results. Furthermore, the ranking results of the presented methodology are compared with various fuzzy MCDM methods, including fuzzy EDAS, fuzzy TOPSIS, fuzzy WASPAS, fuzzy ARAS, and fuzzy COPRAS. The results show that the presented methodology is efficient and stable for solving personnel selection problems in a hesitant fuzzy environment.

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An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning

Cited by 23 publications

References 57 publications

Framework for Economic Potential Analysis of Marine Transportation: A Case Study for Route Choice Between the Suez Canal Route and the Northern Sea Route

Framework for Economic Potential Analysis of Marine Transportation: A Case Study for Route Choice Between the Suez Canal Route and the Northern Sea Route

Arctic weather routing: a review of ship performance models and ice routing algorithms

Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem

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