References
- ASCE. (1998), Handbook for seismic evaluation of buildings - A prestandard, Prepared by the American Society of Civil Engineers, published by the Federal Emergency Management Agency, (FEMA 310 report), Washington, D.C.
- ATC. (2001), Database on the performance of structures near strong-motion recordings: 1994 Northridge, California, Earthquake, Applied Technology Council, ATC-38 Report, Redwood City, California.
- ATC. (2002), Rapid visual screening of buildings for potential seismic hazard: A handbook (Second edition), prepared by the Applied Technology Council, published by the Federal Emergency Management Agency, (FEMA 154 report), Washington, D.C.
- ATC. (1985), Earthquake damage evaluation data for California, Applied Technology Council, ATC-13 Report, Redwood City, California.
- Boissonnade, A.C. and Shah, H.C. (1985), Use of patter recognition and fuzzy sets in seismic risk analysis, Report 67, Stanford, California: John A. Blume Earthquake Engineering Center.
- Carlsson, C. and Fullr, R. (1996), "Fuzzy multiple criteria decision making: recent developments", Fuzzy Set. Syst, 78(2), 139-153. https://doi.org/10.1016/0165-0114(95)00165-4
- Chang, H.Y., Lin, C.C. J., Lin, K.C. and Chen, J.Y. (2009), "Role of accidental torsion in seismic reliability assessment for steel buildings", Steel Compos. Struct., 9(5), 457-472. https://doi.org/10.12989/scs.2009.9.5.457
- Chen, S.H. (1985), "Ranking fuzzy numbers with maximizing set and minimizing set", Fuzzy Set. Syst, 17(2), 113-129. https://doi.org/10.1016/0165-0114(85)90050-8
- Chen, S.J. and Hwang, C.L. (1992), Fuzzy multiple attribute decision making methods and applications, Springer-Verlag, Berlin.
- Chen, S.M. and Lee, L.W. (2010), "Fuzzy multiple attributes group decision-making based on the interval Type- 2 TOPSIS method", Expert Syst. Appl., 37(4), 2790-2798. https://doi.org/10.1016/j.eswa.2009.09.012
- Chen, T.C. (2000), "Extensions of the TOPSIS for group decision making under fuzzy environment", Fuzzy Set. Syst., 114(1), 1-9. https://doi.org/10.1016/S0165-0114(97)00377-1
- Chu, T.C. (2002), "Facility location selection using fuzzy TOPSIS under group decisions", Int. J. Uncertain. Fuzz., 10(6), 687-701. https://doi.org/10.1142/S0218488502001739
- Chu, T.C. and Lin, Y.C. (2003), "A fuzzy TOPSIS method for robot selection", Int. J. Adv. Manuf. Tech., 21(4), 284-290. https://doi.org/10.1007/s001700300033
- Cornell, C.A., Jalayer, F., Hamburger, R.O. and Foutch, D.A. (2002), "Probabilistic basis for 2000 SAC Federal Emergency Management Agency steel moment frame guidelines", J. Struct. Eng.-ASCE, 128(4), 526-533. https://doi.org/10.1061/(ASCE)0733-9445(2002)128:4(526)
- Daodeviren, M., Yavuz, S., Kln, N., Ertuðrul, I. and Karakaþoolu, N. (2008), "Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection", Int. J. Adv. Manuf. Tech., 39(7-8), 783-795. https://doi.org/10.1007/s00170-007-1249-8
- FEMA-273. (1997), NEHRP Guidelines for the seismic rehabilitation of buildings.
- Fragiacomo, M., Amadio, C. and Macorini, L. (2004), "Seismic response of steel frames under repeated earthquake ground motions", Eng. Struct., 26(13), 2021-2035. https://doi.org/10.1016/j.engstruct.2004.08.005
- Hadipriono, F.C. and Ross, T.J. (1991), "A rule-based fuzzy logic deduction technique for damage assessment of protective structures", Fuzzy Set. Syst., 44(3), 459-468. https://doi.org/10.1016/0165-0114(91)90250-T
- Hwang, C.L. and Yoon, K. (1981), Multiple attribute decision making: Methods and applications: A state of the art survey, New York: Springer-Verlag.
- Hwang, C.L. and Yoon, K. (1981), Multiple attribute decision making: Methods and applications: A state of the art survey, New York: Springer-Verlag.
- Kenarangui, R. (1991), "Event-tree analysis by fuzzy probability", IEEE T. Reliab., 40(1), 120-124. https://doi.org/10.1109/24.75348
- Klir, G.J. and Yuan, B. (1995), Fuzzy sets and fuzzy logic: Theory and applications, Upper Saddle River, NJ: Prentice Hall International.
- Lee, E.S. and Li, R.L. (1988), "Comparison of fuzzy numbers based on the probability measure of fuzzy events", Comput. Math. Appl., 15(10), 887-896. https://doi.org/10.1016/0898-1221(88)90124-1
- Lee, L.W. and Chen, S.M. (2008), "Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval Type-2 fuzzy sets", Proceedings of the 2008 International Conference on Machine Learning and Cybernetic, China, 3260-3265.
- Liang, G.S. (1999), "Fuzzy MCDM based on ideal and anti-ideal concepts", Eur J. Oper Res, 112(3), 682-691. https://doi.org/10.1016/S0377-2217(97)00410-4
- Liou, T.S. and Wang, M.J.J. (1992), "Ranking fuzzy numbers with integral value", Fuzzy Set. Syst., 50(3) 247- 255. https://doi.org/10.1016/0165-0114(92)90223-Q
- Mahin, S.A. (1998), "Lessons from damage to steel buildings during the Northridge earthquake", Eng. Struct., 20(4-6), 261-270. https://doi.org/10.1016/S0141-0296(97)00032-1
- Malekly, H., Mousavi, S.M. and Hashemi, H. (2010), "A Fuzzy integrated methodology for evaluating conceptual bridge design", Expert. Syst. Appl., 37(7), 4910-4920. https://doi.org/10.1016/j.eswa.2009.12.024
- NIBS. (1999), Earthquake loss estimation methodology technical manual, HAZUS99 Service Release 2 (SR2), Developed by the National Institute of Building Sciences for the Federal Emergency Management Agency Washington, D.C.
- NRC. (1992), Manual for screening of buildings for seismic investigation, Institute for Research in Construction, National Research Council of Canada, Ottawa, Ontario.
- NRC. (1993), Guidelines for seismic evaluation of existing buildings, Institute for Research in Construction, National Research Council of Canada, Ottawa, Ontario.
- NZSEE. (2006), Assessment and improvement of the structural performance of buildings in earthquake, New Zealand Society for Earthquake Engineering, Auckland, New Zealand.
- Reyes-Salazar, A., Soto-Lopeza, M.E., Bojorquez-Mora, E. and Lopez-Barraza, A. (2012), "Effect of modeling assumptions on the seismic behavior of steel buildings with perimeter moment frames", Struct. Eng. Mech., 41(2), 183-204. https://doi.org/10.12989/sem.2012.41.2.183
- Ribeiro, R.A. (1996), "Fuzzy multiple attribute decision making: a review and new preference elicitation techniques", Fuzzy Set. Syst., 78(2), 155-181. https://doi.org/10.1016/0165-0114(95)00166-2
- Rivera, S.S. and Barn, J.H. (1999), "Using fuzzy arithmetic in containment event trees", International Conference on Probabilistic Safety Assessment- PSA 99, Washington, USA, 22-25.
- Ross, T.J. (2005), Fuzzy logic with engineering applications, John Wiley & Sons, Singapore.
- Saaty, T.L. (1980), The analytic hierarchy process, McGraw-Hill, New York.
- Salehi, M. and Tavakkoli-Moghaddam, R. (2008), "Project selection by using a fuzzy TOPSIS technique", Proceedings of World Academy of Science, Engineering and Technology, 40, 85-90.
- Tesfamariam, S. and Saatcioglu, M. (2008a), "Risk-based seismic evaluation of reinforced concrete buildings", Earthq. Spectra., 24(3), 795-821. https://doi.org/10.1193/1.2952767
- Tesfamariam, S. and Saatcioglu, M. (2008b), "Seismic risk assessment of RC buildings using fuzzy synthetic evaluation", J. Earthq. Eng., 12(7), 1157-1184. https://doi.org/10.1080/13632460802003785
- Tesfamariam, S. and Saatcioglu, M. (2010), "Seismic vulnerability assessment of reinforced concrete buildings using hierarchical fuzzy rule base modeling", Earthq. Spectra, 26(1), 235-256. https://doi.org/10.1193/1.3280115
- Tesfamariam, S. and Liu, Z. (2010), "Earthquake induced damage classification for reinforced concrete buildings", Struct. Saf., 32(2), 154-164. https://doi.org/10.1016/j.strusafe.2009.10.002
- Triantaphyllou, E. and Lin, C.T. (1996), "Development and evaluation of five fuzzy multi-Attribute decisionmaking methods", Int. J. Approx. Reason., 14(4), 281-310. https://doi.org/10.1016/0888-613X(95)00119-2
- Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002), "The evaluation of airline service quality by fuzzy MCDM", Tourism. Manage., 23(2), 107-115. https://doi.org/10.1016/S0261-5177(01)00050-4
- Wang, J.W., Cheng, C.H. and Cheng, H.K. (2009), "Fuzzy hierarchical TOPSIS for supplier selection", Appl. Soft. Comput., 9(1), 377-386. https://doi.org/10.1016/j.asoc.2008.04.014
- Wang, Y.M. and Elhag, T. (2006), "Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment", Expert. Syst. Appl., 31(2), 309-319. https://doi.org/10.1016/j.eswa.2005.09.040
- Yang, T. and Hung, C.C. (2007), "Multiple attribute decision making methods for plant layout design prediction problem", Robot. Cim.-Int. Manuf., 23(1), 126-137. https://doi.org/10.1016/j.rcim.2005.12.002
- Zadeh, L.A. (1965), "Fuzzy sets", Infor Cont, 8, 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
- Zhang, G. and Lu, J. (2003), "An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria", Group. Decis. Negot., 12(6), 501-515. https://doi.org/10.1023/B:GRUP.0000004197.04668.cf
- Zhao, R. and Govind, R. (1991), "Algebraic characteristics of extended fuzzy numbers", Inform. Sciences, 54(1991), 103-130. https://doi.org/10.1016/0020-0255(91)90047-X
- Zwick, R., Carlstein, E. and Budescu, D.V. (1987), "Measures of similarity among fuzzy concepts: A comparative analysis", Int. J. Approx Reason., 1(2), 221-242. https://doi.org/10.1016/0888-613X(87)90015-6
Cited by
- Development of an integrated approach for Algerian building seismic damage assessment vol.47, pp.4, 2013, https://doi.org/10.12989/sem.2013.47.4.471
- Seismic evaluation of cemented material dams -A case study of Tobetsu Dam in Japan vol.10, pp.3, 2016, https://doi.org/10.12989/eas.2016.10.3.717
- Multi-criteria decision making in civil engineering. Part II – applications vol.7, pp.4, 2015, https://doi.org/10.3846/2029882X.2016.1139664
- Assessment of Different Metal Screw Joint Parameters by Using Multiple Criteria Analysis Methods vol.8, pp.5, 2018, https://doi.org/10.3390/met8050318
- Analysis of Steel Wire Rope Diagnostic Data Applying Multi-Criteria Methods vol.8, pp.2, 2018, https://doi.org/10.3390/app8020260
- Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model vol.10, pp.7, 2020, https://doi.org/10.3390/app10072375
- Review fuzzy multi-criteria decision-making in construction management using a network approach vol.102, pp.None, 2021, https://doi.org/10.1016/j.asoc.2021.107103
- A BIM-based decision-making framework for optimal seismic retrofit of existing buildings vol.242, pp.None, 2012, https://doi.org/10.1016/j.engstruct.2021.112544