A New Fuzzy Approach to Determine the Best Method for the Installation of Marine Pipelines

Halman, J. and Braks, B. (1998). “Project alliancing in the offshore industry”, International Journal of Project Management, Vol. 92, No. 1, PP. 14-32.

2. Dey, P. K. (2002). “An integrated assessment model for cross-country pipelines”, Environmental Impact Assessment Review, Vol. 22, No. 6, PP. 703-721.

3. Chen, S. and Fu, G. (2002). “A fuzzy approach to the prototype optimization of offshores platforms”, Ocean Engineering, Vol. 88, No. 2, PP. 877-891.

4. Khan, F. I., Sadiq, R. and Husain, T. (2002). “Risk-based process safety assessment and control measures design for offshore process facilities”, Journal of Hazardous Materials, Vol. 94, No. 1, PP. 1-36.

5. Dey, P. K. (2006). “Integrated project evaluation and selection using multiple-attribute decision-making technique”, International Journal of Production Economics, Vol. 103, No. 1, PP. 90-103.

6. Kaiser, M. J. (2009). “Modeling the time and cost to drill an offshore well”, Renewable Energy, Vol. 34, No. 9, PP. 1097-1112.

7. Tavana, M., Behzadian, M. and Pirdashti, M. (2012). “A PROMETHEE-GDSS for oil and gas pipeline planning in the Caspian Sea basin”, Energy Economics, Vol. 22, No. 4, PP. 128-137.

8. Tavana, M., Pirdashti, M., Kennedy, Dennis.T, Belaud, J-P. and Behzadian, M. (2012). “A hybrid Delphi-SWOT paradigm for oil and gas pipeline strategic planning in Caspian Sea basin”, Energy Policy, No. 40, PP. 345-360.

9. Kaiser, M. J. and Snyder, B. F. (2013). “Modeling offshore wind installation costs on the US Outer Continental Shelf”, Renewable Energy, Vol. 50, No. 2, PP. 676-691.

10. Madeley, Ch. (2013). “Optimization of Subsea Tie-In spools using evolutionary algorithms.” ASME 2013, 32^nd International Conference on Ocean, Offshore and Arctic Engineering, Vol. 4B: Pipeline and Riser Technology.

11. Gabus A. and Fontela, E. (1972). World problems: An invitation to further thought within the framework of DEMATEL, Report No.1. Switzerland.

12. Tzeng, G., Chiang, C. and Li, C. (2007). “Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL”, Expert Systems with Applications, No. 32, PP. 1028-1044.

13. Wu, W. (2008). “Choosing knowledge management strategies by using a combined ANP and DEMATEL approach”, Expert Systems with Applications, No. 35, PP. 828-835.

14. Lin C. and Wu, W. (2008). “A causal analytical method for group decision-making under fuzzy environment”, Expert Systems with Applications, No. 34, PP. 205-213.

15. Saaty, T. (1996). Decision making with dependence and feedback: The analytic network process: the organization and prioritization of complexity, RWS Publications, Pittsburgh PA.

16. Saaty, L. (1980). The analytical hierarchy process, McGraw-Hill, New York.

17. Yang, L., Chiu, N. and Tzeng, G. (2008). “Vendor selection by integrated fuzzy MCDM techniques with independence and interdependence”, Information Sciences, Vol. 178, No. 21, PP. 4166–4183.

18. Weber, C. A. and Current, J. R. (1993). “A multi-objective approach to vendor selection”, European Journal of Operations Research, No. 68, PP. 173–184.

19. Lin, Ch., Wu, T-F. and Weng, R. (2004). “Probability Estimates for Multi-class Classification by Pairwise Coupling”, Journal of Machine Learning Research, No. 5, PP. 975-1005.

20. Leung, L. C. and Cao, D. (2000). “On consistency and ranking of alternatives in fuzzy AHP”, European Journal of Operational Research, No. 124, PP. 102–113.

21. Opricovic, S. and Tzeng, G. (2003). “Defuzzification within a multi criteria decision model”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, No. 11, PP. 635-652