In this paper we investigate the modification of feasibility study on Intelligent Evaluation Marine Traffic Congestion Degree for Restricted Water Area which has now become one of the numerous challenging factors to improve the safety of navigation. However, the observation of marine traffic using Fuzzy Expert with the aid of AIS acquired knowledge from the collected data enable the congestion degree to be visualize and possible to estimate Restricted Water Area base on traffic congestion degree with main flow velocity. The formation, aggregation, and decomposition of rules explained fuzzy mathematical tools and the calculus of IF-THEN rules provides a most useful paradigm for the automation and implementation of an extensive body of human knowledge. Therefore, the clarification includes a discussion of fuzzification and defuzzification strategies, the definition of fuzzy implication and an analysis of fuzzy reasoning mechanism. Now IMO is trying to standardize criterion of Universal AIS. As you know AIS is now studied and has been studied in many advanced country as a tools to exchange information in both ship-to-ship and ship-to-shore in congested waterways. The intention of standardization is to improve safety of VTS management and to support effective navigation of ships.
| Published in | Journal of Electrical and Electronic Engineering (Volume 4, Issue 6) |
| DOI | 10.11648/j.jeee.20160406.12 |
| Page(s) | 150-156 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Marine Traffic, Expect Systems, Fuzzy Logic, Fuzzy Sets, AIS
| [1] | Deepa, S. N., Savanandam, S. N., and Sumathis, S. (2007). Introduction to fuzzy logic using MATLAB. |
| [2] | The Math Works Inc., (1995-2010). Fuzzy Logic Toolbox™ User’s Guide. |
| [3] | Lopez de Mantaras, R., Agusti, J. Plaza, E., Sierra, C. (1991). A fuzzy expert system shell. In: Kandel A (Ed) Fuzzy expert systems. CRC, Boca Raton, FL. |
| [4] | Zadeh, L. A. (1973). The calculus of fuzzy if–then rules. |
| [5] | Yasunobu, S., Myamoto, S. (1985). Automatic train operation by predictive fuzzy control. Industrial applications of fuzzy control. North-Holland, Amsterdam. |
| [6] | Dubois, D., Prade, H. (1990). An introduction to possibility and fuzzy logics. In: Shafer G, Pearl J (Eds) Readings in uncertain reasoning. Morgan Kaufmann, San Francisco. |
| [7] | Dubois, D., Prade, H. (1998). Soft computing, fuzzy logic, and artificial intelligence, soft computing a fusion of foundations, methodologies and applications. |
| [8] | Bauer, P., Bodenhofer, U., Klement, E. P. (1996). A fuzzy algorithm for pixel classification based on the discrepancy norm. In: Proceedings of 5th IEEE 8.international conference on fuzzy systems, New Orleans, LA, September vol 3, pp. 2007–2012. |
| [9] | Zadeh, L. A. (1965). Fuzzy set. Inform. Contr., vol. 8, pp. 338-353. |
| [10] | Chang, S. S. L., Zadeh, L. A. (1972). Fuzzy mapping and control. IEEE Trans. Syst., Man, Cybern., vol. SMC-2, pp. 30-34. |
| [11] | Bellman, R. E., Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Magement Sci., vol. 17, pp. B-141-B-164. |
APA Style
Emmanuel Nartey, Isaac Owusu-Nyarko. (2017). Feasibility Study on Intelligent Evaluation of Marine Traffic Congestion Degree for Restricted Water Using Fuzzy Expert System with AIS Report. Journal of Electrical and Electronic Engineering, 4(6), 150-156. https://doi.org/10.11648/j.jeee.20160406.12
ACS Style
Emmanuel Nartey; Isaac Owusu-Nyarko. Feasibility Study on Intelligent Evaluation of Marine Traffic Congestion Degree for Restricted Water Using Fuzzy Expert System with AIS Report. J. Electr. Electron. Eng. 2017, 4(6), 150-156. doi: 10.11648/j.jeee.20160406.12
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Download@article{10.11648/j.jeee.20160406.12,
author = {Emmanuel Nartey and Isaac Owusu-Nyarko},
title = {Feasibility Study on Intelligent Evaluation of Marine Traffic Congestion Degree for Restricted Water Using Fuzzy Expert System with AIS Report},
journal = {Journal of Electrical and Electronic Engineering},
volume = {4},
number = {6},
pages = {150-156},
doi = {10.11648/j.jeee.20160406.12},
url = {https://doi.org/10.11648/j.jeee.20160406.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20160406.12},
abstract = {In this paper we investigate the modification of feasibility study on Intelligent Evaluation Marine Traffic Congestion Degree for Restricted Water Area which has now become one of the numerous challenging factors to improve the safety of navigation. However, the observation of marine traffic using Fuzzy Expert with the aid of AIS acquired knowledge from the collected data enable the congestion degree to be visualize and possible to estimate Restricted Water Area base on traffic congestion degree with main flow velocity. The formation, aggregation, and decomposition of rules explained fuzzy mathematical tools and the calculus of IF-THEN rules provides a most useful paradigm for the automation and implementation of an extensive body of human knowledge. Therefore, the clarification includes a discussion of fuzzification and defuzzification strategies, the definition of fuzzy implication and an analysis of fuzzy reasoning mechanism. Now IMO is trying to standardize criterion of Universal AIS. As you know AIS is now studied and has been studied in many advanced country as a tools to exchange information in both ship-to-ship and ship-to-shore in congested waterways. The intention of standardization is to improve safety of VTS management and to support effective navigation of ships.},
year = {2017}
}
TY - JOUR T1 - Feasibility Study on Intelligent Evaluation of Marine Traffic Congestion Degree for Restricted Water Using Fuzzy Expert System with AIS Report AU - Emmanuel Nartey AU - Isaac Owusu-Nyarko Y1 - 2017/01/03 PY - 2017 N1 - https://doi.org/10.11648/j.jeee.20160406.12 DO - 10.11648/j.jeee.20160406.12 T2 - Journal of Electrical and Electronic Engineering JF - Journal of Electrical and Electronic Engineering JO - Journal of Electrical and Electronic Engineering SP - 150 EP - 156 PB - Science Publishing Group SN - 2329-1605 UR - https://doi.org/10.11648/j.jeee.20160406.12 AB - In this paper we investigate the modification of feasibility study on Intelligent Evaluation Marine Traffic Congestion Degree for Restricted Water Area which has now become one of the numerous challenging factors to improve the safety of navigation. However, the observation of marine traffic using Fuzzy Expert with the aid of AIS acquired knowledge from the collected data enable the congestion degree to be visualize and possible to estimate Restricted Water Area base on traffic congestion degree with main flow velocity. The formation, aggregation, and decomposition of rules explained fuzzy mathematical tools and the calculus of IF-THEN rules provides a most useful paradigm for the automation and implementation of an extensive body of human knowledge. Therefore, the clarification includes a discussion of fuzzification and defuzzification strategies, the definition of fuzzy implication and an analysis of fuzzy reasoning mechanism. Now IMO is trying to standardize criterion of Universal AIS. As you know AIS is now studied and has been studied in many advanced country as a tools to exchange information in both ship-to-ship and ship-to-shore in congested waterways. The intention of standardization is to improve safety of VTS management and to support effective navigation of ships. VL - 4 IS - 6 ER -
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