Assessment of institutional capacity of the Arctic subsurface resource management by using the fuzzy-set theory

Author(s):  
I. G. Polyanskaya ◽  
V. V. Yurak
Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 765 ◽  
Author(s):  
Yangjun Wang ◽  
Ren Zhang ◽  
Longxia Qian

This paper presents a new route planning system for the purpose of evaluating the strategic prospects for future Arctic routes. The route planning problem can be regarded as a multi criteria decision making problem with large uncertainties originating from multi-climate models and experts’ knowledge and can be solved by a modified A* algorithm where the hesitant fuzzy set theory is incorporated. Compared to the traditional A* algorithm, the navigability of the Arctic route is firstly analyzed as a measure to determine the obstacle nodes and three key factors to the vessel navigation including sailing time, economic cost and risk are overall considered in the HFS-A* algorithm. A numerical experiment is presented to test the performance of the proposed algorithm.


2020 ◽  
Vol 265 ◽  
pp. 121779 ◽  
Author(s):  
Luiz Maurício Furtado Maués ◽  
Brisa do Mar Oliveira do Nascimento ◽  
Weisheng Lu ◽  
Fan Xue

2020 ◽  
Vol 38 (4) ◽  
pp. 3971-3979
Author(s):  
Yana Yuan ◽  
Huaqi Chai

1990 ◽  
Vol 33 (1) ◽  
pp. 0306-0313 ◽  
Author(s):  
X. Q. Gui ◽  
C. E. Goering

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