Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

1. P. Kettunen, “Troubleshooting Large-Scale New Product Development Embedded Software Projects,” in Product- Focused Software Process Improvement, vol. 4034, Elsevier B.V., 2006, pp. 61-78.Search in Google Scholar

2. N. Zuber and R. Bajri, “Application of artificial neural networks and principal component analysis on vibration signals for automated fault classification of roller element bearings,” Eksploat. i Niezawodn. - Maint. Reliab., vol. 18, no. 2, pp. 299-306, 2016.10.17531/ein.2016.2.19Search in Google Scholar

3. A. Balin, H. Demirel, and F. Alarcin, “A Hierarchical Structure for Ship Diesel Engine Trouble-Shooting Problem Using Fuzzy Ahp and Fuzzy Vikor Hybrid Methods,” Brodogradnja, vol. 66, no. 1, pp. 54-65, 2015.Search in Google Scholar

4. D. O. Aikhuele and F. M. Turan, “Need for reliability assessment of parent product before redesigning a new product,” Curr. Sci., vol. 112, no. 1, pp. 10-11, 2017.Search in Google Scholar

5. J. A. Keizer, J.-P. Vos, and J. Halman, “Risks in New Product Development,” 2005.Search in Google Scholar

6. R. S. Martínez, “System Theoretic Process Analysis of Electric Power Steering for Automotive Applications,” 2015.Search in Google Scholar

7. R. K. Sharma, D. Kumar, and P. Kumar, “Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling,” Int. J. Qual. Reliab. Manag., vol. 22, no. 9, pp. 986-1004, 2005.10.1108/02656710510625248Search in Google Scholar

8. M. Shaghaghi and K. Rezaie, “Failure Mode and Effects Analysis Using Generalized Mixture Operators,” J. Optim. Ind. Eng., vol. 11, pp. 1-10, 2012.10.1002/9781118312575.ch1Search in Google Scholar

9. M. Kangavari, S. Salimi, R. Nourian, L. Omidi, and A. Askarian, “An application of failure mode and effect analysis ( FMEA ) to assess risks in petrochemical industry in Iran,” Iran. J. Heal. Saf. Environ., vol. 2, no. 2, pp. 257- 263, 2015.Search in Google Scholar

10. S. Cebi, M. Celik, C. Kahraman, and I. D. Er, “An expert system towards solving ship auxiliary machinery troubleshooting: SHIPAMTSOLVER,” Expert Syst. Appl., vol. 36, no. 3 PART 2, pp. 7219-7227, 2009.Search in Google Scholar

11. H.-C. Liu, L. Liu, N. Liu, and L.-X. Mao, “Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment,” Expert Syst. Appl., vol. 39, no. 17, pp. 12926-12934, 2012.Search in Google Scholar

12. H.-C. Liu, L. Liu, Q. Bian, Q. Lin, N. Dong, and P. Xu, “Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory,” Expert Syst. Appl., vol. 38, no. 4, pp. 4403-4415, 2011.Search in Google Scholar

13. F. Alarcin, A. Balin, and H. Demirel, “Fuzzy AHP and Fuzzy TOPSIS integrated hybrid method for auxiliary systems of ship main engines,” J. Mar. Eng. Technol., vol. 13, no. 1, pp. 3-11, 2014.Search in Google Scholar

14. Y.-H. He, L.-B. Wang, Z.-Z. He, and M. Xie, “A fuzzy TOPSIS and Rough Set based approach for mechanism analysis of product infant failure,” Eng. Appl. Artif. Intell., vol. 47, pp. 1-13, 2015.Search in Google Scholar

15. G. M. Saurav Datta, Chitrasen Samantra, Siba SankarMahapatra, Goutam Mondal, Partha Sarathi Chakraborty, “Selection of internet assessment vendor using TOPSIS method in fuzzy environment,” Int. J. Bus. Perform. Supply Chain Model., vol. 5, no. 1, pp. 1-27, 2013.10.1504/IJBPSCM.2013.051645Search in Google Scholar

16. K. T. Atanassov, “Intuitionistic fuzzy sets,” Fuzzy Sets Syst., vol. 20, no. 1, pp. 87-96, 1986. 10.1016/S0165-0114(86)80034-3Search in Google Scholar

17. Z. Xu and H. Liao, “A survey of approaches to decision making with intuitionistic fuzzy preference relations,” Knowledge-Based Syst., vol. 80, pp. 131-142, 2015.10.1016/j.knosys.2014.12.034Search in Google Scholar

18. D. O. Aikhuele and F. M. Turan, “A modified exponential score function for troubleshooting an improved locally made Offshore Patrol Boat engine,” J. Mar. Eng. Technol., vol. 4177, no. February, 2017.Search in Google Scholar

19. Z. Xu, S. Member, and H. Liao, “Intuitionistic fuzzyanalytic hierarchy process,” IEEE Trans. Fuzzy Syst., vol. 22, no. 4, pp. 749-761, 2014.10.1109/TFUZZ.2013.2272585Search in Google Scholar

20. D. O. Aikhuele and F. B. M. Turan, “An Improved Methodology for Multi-criteria Evaluations in the Shipping Industry,” Brodogradnja/Shipbuilding, vol. 67, no. 3, pp. 59-72, 2016.10.21278/brod67304Search in Google Scholar

21. Z. Bai, “An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function,” Sci. World J., vol. 2013, pp. 1-9, 2013.Search in Google Scholar

22. D.-F. Li, “Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets,” Expert Syst. Appl., vol. 37, no. 12, pp. 8673-8678, 2010.Search in Google Scholar

23. J. Ye, “Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment,” Expert Syst. Appl., vol. 36, no. 3, pp. 6899-6902, 2009.Search in Google Scholar

24. T. Wang, H. Lee, and C. Wu, “A Fuzzy TOPSIS Approach with Subjective Weights and Objective Weights,” in 6th WSEAS International Conference on Applied Computer Science, 2007, pp. 1-6.Search in Google Scholar

25. Ü. Şengül, M. Eren, S. Eslamian Shiraz, V. Gezder, and A. B. Şengül, “Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey,” Renew. Energy, vol. 75, pp. 617-625, 2015.10.1016/j.renene.2014.10.045Search in Google Scholar

26. R. Saad, M. Z. Ahmad, M. S. Abu, and M. S. Jusoh, “Hamming distance method with subjective and objective weights for personnel selection.,” ScientificWorldJournal., vol. 2014, p. 865495, 2014.Search in Google Scholar

27. F. H. Lotfi and R. Fallahnejad, “Imprecise shannon’s entropy and multi attribute decision making,” Entropy, vol. 12, no. 1, pp. 53-62, 2010.10.3390/e12010053Search in Google Scholar

28. Hwang C. L. and Yoon K., Multiple Attribute Decision Making Methods and Applications. Berlin: Springer, 1981.10.1007/978-3-642-48318-9Search in Google Scholar

29. B. Bulgurcu, “Application of TOPSIS Technique for Financial Performance Evaluation of Technology Firms in Istanbul Stock Exchange Market,” Procedia - Soc. Behav. Sci., vol. 62, pp. 1033-1040, 2012.Search in Google Scholar

30. O. Jadidi, T. Hong, and F. Firouzi, “TOPSIS and fuzzy multi-objective model integration for supplier selection problem,” J. Achiev. Mater. Manufactuing Eng., vol. 31, no. 2, pp. 762-769, 2008.Search in Google Scholar

31. A. Azizi, D. O. Aikhuele, and F. S. Souleman, “A Fuzzy TOPSIS Model to Rank Automotive Suppliers,” Procedia Manuf., vol. 2, no. February, pp. 159-164, 2015.10.1016/j.promfg.2015.07.028Search in Google Scholar

32. S. Pakpour, S. V Olishevska, S. O. Prasher, A. S. Milani, and M. R. Chénier, “DNA extraction method selection for agricultural soil using TOPSIS multiple criteria decisionmaking model,” Am. J. Mol. Biol., vol. Published , no. October, pp. 215-228, 2013.10.4236/ajmb.2013.34028Search in Google Scholar

33. M. D. Soufi, B. Ghobadian, G. Najafi, M. R. Sabzimaleki, and T. Yusaf, “TOPSIS multi-criteria decision modeling approach for biolubricant selection for two-stroke petrol engines,” Energies, vol. 8, no. 12, pp. 13960-13970, 2015.Search in Google Scholar

34. C. Yang and Q. Wu, “Decision Model for Product Design Based on Fuzzy TOPSIS Method,” 2008 Int. Symp. Comput. Intell. Des., pp. 342-345, 2008.10.1109/ISCID.2008.220Search in Google Scholar

35. M. Ghazanfari, S. Rouhani, and M. Jafari, “A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems,” Polish Marit. Res., vol. 21, no. 2, pp. 86-96, 2014.10.2478/pomr-2014-0023Search in Google Scholar

36. X. Zhu, F. Wang, C. Liang, J. Li, and X. Sun, “Quality credit evaluation based on TOPSIS: Evidence from airconditioning market in China,” Procedia Comput. Sci., vol. 9, no. 10, pp. 1256-1262, 2012.Search in Google Scholar

37. D. O. Aikhuele and F. B. M. Turan, “Intuitionistic fuzzybased model for failure detection,” Springerplus, vol. 5, no. 1, p. 1938, 2016.10.1186/s40064-016-3446-0510124927933231Search in Google Scholar

38. F. Lu, J. Huang, and Y. Xing, “Fault diagnostics for turboshaft engine sensors based on a simplified on-board model,” Sensors (Switzerland), vol. 12, no. 8, pp. 11061-11076, 2012.Search in Google Scholar