Selection of the best well control system by using fuzzy multiple-attribute decision-making methods

References

• S. Ballı and S. Korukoğlu, Operating system selection using fuzzy AHP and TOPSIS methods, Math. Comput. Appl. 14(2) (2009), pp. 119–130.
   Web of Science ®Google Scholar
• E. Battani and A. Rizzio, A fuzzy TOPSIS methodology to support outsourcing of logistics services supply chain management, Int. J. Prod. Econ. 11(4) (2006), pp. 294–308.
   Google Scholar
• J. Buckley, Fuzzy hierarchical analysis, Fuzzy Sets Syst. 17 (1985), pp. 233–247. doi: 10.1016/0165-0114(85)90090-9
   Web of Science ®Google Scholar
• G. Büyüközkan, O. Feyzioğlu, and E. Nebol, Selection of the strategic alliance partner in logistics value chain, Int. J. Prod. Econ. 113(1) (2008), pp. 148–158. doi: 10.1016/j.ijpe.2007.01.016
   Web of Science ®Google Scholar
• C.T. Chen, Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Syst. 114(1) (2000), pp. 1–9.
   Web of Science ®Google Scholar
• C.T. Chen, A fuzzy approach to select the location of the distribution center, Fuzzy Sets Syst. 118(1) (2001), pp. 65–73.
   Web of Science ®Google Scholar
• C.T. Chen, C.T. Lin, and S.F. Huang. A fuzzy approach for supplier evaluation and selection in supply chain management, Int. J. Prod. Econ. 102 (2006), pp. 289–301. doi: 10.1016/j.ijpe.2005.03.009
   Web of Science ®Google Scholar
• S.H. Chen and C.H. Hsieh, Representation, ranking, distance, and similarity of L–R type fuzzy number and application, Aust. J. Intell. Inform. Process. Syst. 6(4) (2000), pp. 217–229.
   Google Scholar
• C.C. Chou, A fuzzy MADM method for solving A/R collection instruments selection problem, J. Mar. Sci. Technol. 15(2) (2007), pp. 115–122.
   Web of Science ®Google Scholar
• T.Y. Chou and G.S. Liang, Application of a fuzzy multi-criteria decision-making model for shipping company performance evaluation, Maritime Policy Manage. 28(4) (2001), pp. 375–392.
   Google Scholar
• T.C. Chu, Selecting plant location via a fuzzy TOPSIS approach, Adv. Manuf. Technol. 20 (2002), pp. 859–864. doi: 10.1007/s001700200227
   Web of Science ®Google Scholar
• J.F. Ding, Partner selection of strategic alliance for a liner shipping company using extent analysis method of fuzzy AHP, J. Mar. Sci. Technol. 17(2) (2009), pp. 97–105.
   Web of Science ®Google Scholar
• İ. Ertuğrul and N. Karakaşoğlu, Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection, Int. J. Adv. Manuf. Technol. 39(7–8) (2008), pp. 783–795. doi: 10.1007/s00170-007-1249-8
   Web of Science ®Google Scholar
• J. Fitzpatrick, Practical Well Control, 2nd ed., Petroleum Extension Service, Houston, TX, 1989.
   Google Scholar
• C.L. Hwang and K. Yoon, Multiple Attribute Decision Making: Methods and Application, Springer, New York, 1981.
   Google Scholar
• G.R. Jahanshahloo, F. Hosseinzadeh Lotfi, and M. Izadikhah, Extension of the TOPSIS method for decision-making problems with fuzzy data, Appl. Math. Comput. 181 (2006), pp. 1544–1551. doi: 10.1016/j.amc.2006.02.057
   Web of Science ®Google Scholar
• C. Kahraman, G. Büyüközkan, and N.Y. Ates, A two phase multi-attribute decision-making approach for new product introduction, Inform. Sci. 177 (2007), pp. 1567–1582. doi: 10.1016/j.ins.2006.09.008
   Web of Science ®Google Scholar
• A. Kaufmann and M.M. Gupta, Introduction to Fuzzy Arithmetic, Theory and Applications, Von Nostrand Reinhold, New York, 1985.
   Google Scholar
• H.S. Lee and M.T. Chou, A Fuzzy Multiple Criteria Decision Making Model for Airline Competitiveness Evaluation, in Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science 4252, B. Gabrys, R.J. Howlett, and L.C. Jain, eds., Springer, Berlin, Heidelberg, 2006, pp. 902–909.
   Google Scholar
• G.S. Liang, Fuzzy MCDM based on ideal and anti-ideal concepts, Eur. J. Oper. Res. 112(3) (1999), pp. 682–691. doi: 10.1016/S0377-2217(97)00410-4
   Web of Science ®Google Scholar
• S.H. Tsaur, T.Y. Chang, and C.H. Yen, The evaluation of airline service quality by fuzzy MCDM, Tourism Manage. 23(2) (2002), pp. 107–115.
   Google Scholar
• A. Valls and T. Vicenc, Using classification as an aggregation tool in MCDM, Fuzzy Sets Syst. 115(1) (2000), pp. 159–168. doi: 10.1016/S0165-0114(99)00029-9
   Web of Science ®Google Scholar
• Y.J. Wang and H.S. Lee, Generalizing TOPSIS for fuzzy multiple-criteria group decision-making, Comput. Math. Appl. 53(11) (2007), pp. 1762–1772. doi: 10.1016/j.camwa.2006.08.037
   Web of Science ®Google Scholar
• Y.J. Wang, H.S. Lee, and K. Lin, Fuzzy TOPSIS for multi-criteria decision-making, Int. Math. J. 3(4) (2003), pp. 367–379.
   Google Scholar
• J. Wen Wang, C. Hsue Cheng, and H.K. Cheng, Fuzzy hierarchical TOPSIS for supplier selection, Appl. Soft Comput. 9 (2009), pp. 377–386. doi: 10.1016/j.asoc.2008.04.014
   Web of Science ®Google Scholar
• L.A. Zadeh, Fuzzy sets, Inform. Control 8(3) (1965), pp. 338–353. doi: 10.1016/S0019-9958(65)90241-X
   Google Scholar
• L.A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Part 1, 2 and 3, Inform. Sci. 8(3) (1975), pp. 199–249; 8(4) (1975), pp. 301–357; 9(1) (1976), pp. 43–80. doi: 10.1016/0020-0255(75)90036-5
   Web of Science ®Google Scholar