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2017 | 24 | Special Issue S3 |
Tytuł artykułu

Summary of the port shoreline resource evaluation based on triangular fuzzy analytic hierarchy process

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Port shoreline resources are the basis of port and shipping development, and its assessment method has become one of the hot issues in port research. On the basis of constructing a reasonable index evaluation system, this paper constructs the fuzzy evaluation matrix based on the triangular fuzzy analytic hierarchy process and constructs the fuzzy evaluation matrix by using the fuzzy comprehensive evaluation method, and obtains the maximum membership degree of the port shoreline resources. Compared with the traditional port shoreline Resource evaluation methods, the new one got more advantages in objective and quantitative. Finally, Combined with the Nanjing section of the Yangtze River as a case for verification, the results show that the model can accurately solve the problem of resource evaluation of port shoreline
Słowa kluczowe
EN
Wydawca
-
Rocznik
Tom
24
Opis fizyczny
p.16-22,fig.,ref.
Twórcy
autor
  • College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
autor
  • Jiangsu Province Communications Planning and Design Institute Limited Company Co.Ltd., China
autor
  • College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
autor
  • College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
autor
  • College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
Bibliografia
  • 1. A. Artal-Tur, J.M. Gomez-Fuster, J.M. Navarro-Azorin, J.M. Ramos-Parreno, 2016. Estimating the economic impact of a port through regional input-output tables: Case study of the Port of Cartagena (Spain). MARITIME ECONOMICS & LOGISTICS, 18(4), 371-390.
  • 2. I.Van Putten, C. Cvitanovic, E.A.Fulton, 2016. A changing marine sector in Australian coastal communities: An analysis of inter and intra sectorial industry connections and employment, OCEAN & COASTAL MANAGEMENT, 131, 1-12.
  • 3. M.Acciaro, 2008. The role of ports in the development of Mediterranean islands: the case of Sardinia, INTERNATIONAL JOURNAL OF TRANSPORT ECONOMICS, 35(3), 295-323.
  • 4. K. Jayakumar, S. Malarvannan, 2016. Assessment of shoreline changes over the Northern Tamil Nadu Coast, South India using WebGIS techniques, JOURNAL OF COASTAL CONSERVATION, 20(6), 477-487.
  • 5. S. Kermani, M. Boutiba, M. Guendouz, M.S. Guettouche, D. Khelfani, 2016. Detection and analysis of shoreline changes using geospatial tools and automatic computation: Case of jijelian sandy coast (East Algeria), OCEAN & COASTAL MANAGEMENT, 132, 46-58.
  • 6. Feng. L., Zhu. XD., Sun. X., 2014. Assessing coastal reclamation suitability based on a fuzzy-AHP comprehensive evaluation framework: A case study of Lianyungang, China, MARINE POLLUTION BULLETIN, 89(1), 102-111.
  • 7. A. Esmaeili, 2006. Technical efficiency analysis for the Iranian fishery in the Persian Gulf , ICES JOURNAL OF MARINE SCIENCE, 63(9), 1759-1764.
  • 8. Lu. X., Fan. HT., 2015. Study on the Risk Assessment Approach of Port Facility Security Based on a Comprehensive Model of Delphi Method, Analytic Hierarchy Process, Grey Theory and Fuzzy Evaluation Method , 3RD INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2015), Wuhan, PEOPLES R CHINA, pp.628-632.
  • 9. A. Akin, S. Berberoglu, M.A. Erdogan, C. Donmez. 2012. Modelling land-use change dynamics in a Mediterranean coastal wetland using CA-Markov Chain analysis, FRESENIUS ENVIRONMENTAL BULLETIN, 21(2), 386-396.
  • 10. J. Rocha, J. C. Ferreira, J. Simoes, J. A. Tenedorio, 2007. Modelling Coastal and Land Use Evolution Patterns through Neural Network and Cellular Automata Integration, JOURNAL OF COASTAL RESEARCH, 17(3), 827-831,
  • 11. T. L. Saaty, L. T. Tran, 2007. On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7-8), 962-975.
  • 12. Wallenius J., Dyen J S., Fishburn P C.,et al.Multiple criteria decision making, multiattribute utility theory: Recent accomplishments and what lied ahead. Management Science, 2008,54(7):1336-1349.
  • 13. Dubois, D. The role of fuzzy sets in decison sciences: Old techniques and new directions. Fuzzy Sets and Systems, Vol.184, No.1, pp.3-28, 2011.
  • 14. L.Ledoux., R.K. Tumer., 2002. Valuing ocean and coastal resources: A review of practical Examples and issues for further action, Ocean & Coastal Management, 45(9-10), 583-616.
  • 15. R. DalCin, U. Simeoni, 1994. A model for determining the classification, vulnerability and risk in the southern coastal zone of the marehe(Italy), Journal of Coastal Reseach, 3,18-29.
  • 16. I. Bagdanaviciute, L. Kelpsaite, T. Soomere, 2015. Multicriteria evaluation approach to coastal vulnerability index development in micro-tidal low-lying areas, OCEAN & COASTAL MANAGEMENT, 104, 124-135.
  • 17. J. Nouri, A. Danehkar, R. Sharifipour, 2008. Evaluation of ecotourism potential in the northern coastline of the Persian Gulf, ENVIRONMENTAL GEOLOGY, 55(3), 681-686.
  • 18. Sha, M., Qiu, BH. 2009. Evaluation System and Its Application for Undeveloped Port-shoreline Resources, Proceeding International Conference on Information Management, Innovation and Industrial Engineering, Xi’an, CHINA, pp. 496-501.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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