D-DEMATEL: A new method to identify critical success factors in emergency management

Safety Science

Volumn 91, Issue , 2017, Pages 93-104

  Zhou, Xinyi ^a   Shi, Yangqiuyan ^b   Deng, Xinyang ^a   Deng, Yong ^a,c,d,e  

^a SOUTHWEST UNIVERSITY   (China)

^b Korea University   (South Korea)

^c XI'AN JIAOTONG UNIVERSITY   (China)

^d VANDERBILT UNIVERSITY   (United States)

^e UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Critical success factors; D numbers; D DEMATEL; DEMATEL; Dempster Shafer evidence theory; Emergency management

Indexed keywords

CIVIL DEFENSE; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DECISION THEORY; DISASTERS; FUZZY SETS; LINGUISTICS; NUMBER THEORY; RISK MANAGEMENT;

CRITICAL SUCCESS FACTOR; DECISION MAKING TRIAL AND EVALUATION LABORATORIES; DEMATEL; DEMPSTER SHAFER EVIDENCE THEORY; EMERGENCY MANAGEMENT; INFLUENTIAL FACTORS; INTUITIONISTIC FUZZY NUMBER; LINGUISTIC ASSESSMENT;

DECISION MAKING;

ARTICLE; CONTROLLED STUDY; CRITICAL SUCCESS FACTOR; DECISION MAKING; DISASTER; EMERGENCY MANAGEMENT; EMERGENCY TREATMENT; FUZZY SYSTEM; HEALTH CARE MANAGEMENT; LIMIT OF QUANTITATION; MEASUREMENT ACCURACY; ORGANIZATIONAL STRUCTURE; PRIORITY JOURNAL; PROCESS OPTIMIZATION;

EID: 84982822132     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2016.06.014     Document Type: Article

References (74)

1. Bai, C., Sarkis, J., A grey-based DEMATEL model for evaluating business process management critical success factors. Int. J. Prod. Econ. 146:1 (2013), 281–292.
2. Baykasoğlu, A., KaplanoğLu, V., DurmuşOğLu, Z.D., ŞAhin, C., Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Syst. Appl. 40:3 (2013), 899–907.
3. Cheng, D., Hao, R.-X., Feng, Y.-Q., Embedding even cycles on folded hypercubes with conditional faulty edges. Inf. Process. Lett. 115:12 (2015), 945–949.
4. Chou, Y.-C., Sun, C.-C., Yen, H.-Y., Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach. Appl. Soft Comput. 12:1 (2012), 64–71.
5. Dempster, A.P., Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38:2 (1967), 325–339.
6. Deng, Y., D numbers: theory and applications. J. Inf. Comput. Sci. 9:9 (2012), 2421–2428.
7. Deng, Y., Generalized evidence theory. Appl. Intell. 43:3 (2015), 530–543.
8. Deng, Y., A threat assessment model under uncertain environment. Math. Probl. Eng., 2015, 2015, 878024.
9. Deng, Y., Fuzzy analytical hierarchy process based on canonical representation on fuzzy numbers. J. Comput. Anal. Appl. 22:2 (2017), 201–228.
10. Deng, X., Hu, Y., Deng, Y., Mahadevan, S., Supplier selection using AHP methodology extended by D numbers. Expert Syst. Appl. 41:1 (2014), 156–167.
11. Deng, X., Hu, Y., Deng, Y., Mahadevan, S., Environmental impact assessment based on D numbers. Expert Syst. Appl. 41:2 (2014), 635–643.
12. Deng, X., Lu, X., Chan, F.T., Sadiq, R., Mahadevan, S., Deng, Y., D-CFPR: D numbers extended consistent fuzzy preference relations. Knowl.-Based Syst. 73 (2015), 61–68.
13. Deng, X., Han, D., Dezert, J., Deng, Y., Shyr, Y., Evidence combination from an evolutionary game theory perspective. IEEE Trans. Cybernet., 2015, 10.1109/TCYB.2015.2462352 Published Online.
14. Deng, Y., Mahadevan, S., Zhou, D., Vulnerability assessment of physical protection systems: a bio-inspired approach. Int. J. Unconv. Comput. 11:3,4 (2015), 227–243.
15. Deng, Y., Liu, Y., Zhou, D., An improved genetic algorithm with initial population strategy for symmetric TSP. Math. Probl. Eng., 2015, 2015, 212794.
16. Disterheft, A., Caeiro, S., Azeiteiro, U.M., Leal Filho, W., Sustainable universities – a study of critical success factors for participatory approaches. J. Cleaner Prod. 106 (2015), 11–21.
17. Drabek, T.E., Hoetmer, G.J., Emergency Management: Principles and Practice for Local Government. 1991, International city management association, Washington, DC.
18. Du, W.-B., Gao, Y., Liu, C., Zheng, Z., Wang, Z., Adequate is better: particle swarm optimization with limited-information. Appl. Math. Comput. 268 (2015), 832–838.
19. Fan, G., Zhong, D., Yan, F., Yue, P., A hybrid fuzzy evaluation method for curtain grouting efficiency assessment based on an AHP method extended by D numbers. Expert Syst. Appl. 44 (2016), 289–303.
20. Fontela, E., Gabus, A., The DEMATEL Observer. 1976, Battelle Geneva Research Centre, Geneva.
21. Gabus, A., Fontela, E., World Problems, an Invitation to Further Thought within the Framework of DEMATEL. 1972, Battelle Geneva Research Center, Geneva, Switzerland.
22. Goodman, R., Introduction to Stochastic Models. 1988, Courier Corporation.
23. Govindan, K., Khodaverdi, R., Vafadarnikjoo, A., Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Syst. Appl. 42:20 (2015), 7207–7220.
24. Haghighi, P.D., Burstein, F., Zaslavsky, A., Arbon, P., Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings. Decis. Support Syst. 54:2 (2013), 1192–1204.
25. Hsu, C.-W., Kuo, T.-C., Chen, S.-H., Hu, A.H., Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. J. Cleaner Prod. 56 (2013), 164–172.
26. Huang, C., Wu, T., Renn, O., A Risk Radar driven by Internet of intelligences serving for emergency management in community. Environ. Res. 148 (2016), 550–559.
27. Jassbi, J., Mohamadnejad, F., Nasrollahzadeh, H., A Fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map. Expert Syst. Appl. 38:5 (2011), 5967–5973.
28. Jiang, W., Yang, Y., Luo, Y., Qin, X., Determining basic probability assignment based on the improved similarity measures of generalized fuzzy numbers. Int. J. Comput. Commun. Control 10:3 (2015), 333–347.
29. Jiang, W., Luo, Y., Qin, X., Zhan, J., An improved method to rank generalized fuzzy numbers with different left heights and right heights. J. Intell. Fuzzy Syst. 28:5 (2015), 2343–2355.
30. Jiang, W., Wei, B., Xie, C., Zhou, D., An evidential sensor fusion method in fault diagnosis. Adv. Mech. Eng. 8:3 (2016), 1–7.
31. Jiang, W., Xie, C., Wei, B., Zhou, D., A modified method for risk evaluation in failure modes and effects analysis of aircraft turbine rotor blades. Adv. Mech. Eng. 8:4 (2016), 1–16.
32. Jiang, W., Wei, B., Qin, X., Zhan, J., Tang, Y., Sensor data fusion based on a new conflict measure. Math. Probl. Eng.(5769061), 2016 in press.
33. Jiang, W., Zhan, J., Zhou, D., Li, X., A method to determine generalized basic probability assignment in the open world. Math. Probl. Eng., 2016, 2016 Article ID 3878634, 11 pages.
34. Li, Y., Hu, Y., Zhang, X., Deng, Y., Mahadevan, S., An evidential DEMATEL method to identify critical success factors in emergency management. Appl. Soft Comput. 22 (2014), 504–510.
35. Lin, R.-J., Using fuzzy DEMATEL to evaluate the green supply chain management practices. J. Cleaner Prod. 40 (2013), 32–39.
36. Liou, J.J.H., Building an effective system for carbon reduction management. J. Cleaner Prod. 103 (2015), 353–361.
37. Liou, J.J.H., Tamosaitiene, J., Zavadskas, E.K., Tzeng, G.-H., New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. Int. J. Prod. Res. 54:1, SI (2016), 114–134.
38. Liu, H.-C., You, J.-X., Fan, X.-J., Lin, Q.-L., Failure mode and effects analysis using D numbers and grey relational projection method. Expert Syst. Appl. 41:10 (2014), 4670–4679.
39. Liu, H.-C., You, J.-X., You, X.-Y., Shan, M.-M., A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Appl. Soft Comput. 28 (2015), 579–588.
40. Liu, Z.-g., Pan, Q., Dezert, J., Martin, A., Adaptive imputation of missing values for incomplete pattern classification. Pattern Recogn. 52 (2016), 85–95.
41. Lo, C.-C., Chen, W.-J., A hybrid information security risk assessment procedure considering interdependences between controls. Expert Syst. Appl. 39:1 (2012), 247–257.
42. Ma, J., Liu, W., Miller, P., Zhou, H., An evidential fusion approach for gender profiling. Inf. Sci. 333 (2016), 10–20.
43. Mentes, A., Akyildiz, H., Yetkin, M., Turkoglu, N., A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey. Saf. Sci. 79 (2015), 1–10.
44. Ning, X., Yuan, J., Yue, X., Uncertainty-based optimization algorithms in designing fractionated spacecraft. Sci. Rep., 6, 2016, 22979.
45. Ning, X., Zhang, T., Wu, Y., Zhang, P., Zhang, J., Li, S., Yue, X., Yuan, J., Coordinated parameter identification technique for the inertial parameters of non-cooperative target. PloS One, 11(4), 2016, e0153604.
46. Papoulis, A., Pillai, S.U., Probability, Random Variables, and Stochastic Processes. 1985, McGraw-Hill.
47. Patil, S.K., Kant, R., A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Appl. Soft Comput. 18 (2014), 126–135.
48. Sara, J., Stikkelman, R.M., Herder, P.M., Assessing relative importance and mutual influence of barriers for CCS deployment of the road project using AHP and DEMATEL methods. Int. J. Greenhouse Gas Control 41 (2015), 336–357.
49. Shafer, G., et al. A Mathematical Theory of Evidence, vol. 1, 1976, Princeton University Press, Princeton.
50. Sheu, J.-B., An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transport. Res. Part E: Logist. Transport. Rev. 43:6 (2007), 687–709.
51. Shieh, J.-I., Wu, H.-H., Measures of consistency for DEMATEL method. Commun. Stat.- Simul. Comput. 45:3 (2016), 781–790.
52. Shieh, J.-I., Wu, H.-H., Huang, K.-K., A DEMATEL method in identifying key success factors of hospital service quality. Knowl.-Based Syst. 23:3 (2010), 277–282.
53. Su, C.-M., Horng, D.-J., Tseng, M.-L., Chiu, A.S., Wu, K.-J., Chen, H.-P., Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. J. Cleaner Prod., 30, 2015, 1e13.
54. Su, X., Mahadevan, S., Xu, P., Deng, Y., Dependence assessment in human reliability analysis using evidence theory and AHP. Risk Anal. 35:7 (2015), 1296–1316.
55. Su, X., Mahadevan, S., Han, W., Deng, Y., Combining dependent bodies of evidence. Appl. Intell. 44:3 (2016), 634–644.
56. Trkman, P., The critical success factors of business process management. Int. J. Inf. Manage. 30:2 (2010), 125–134.
57. Tsai, W.-H., Chou, W.-C., Selecting management systems for sustainable development in SMEs: a novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert Syst. Appl. 36:2 (2009), 1444–1458.
58. Tsai, S.-B., Chien, M.-F., Xue, Y., Li, L., Jiang, X., Chen, Q., Zhou, J., Wang, L., Using the fuzzy DEMATEL to determine environmental performance: a case of printed circuit board industry in Taiwan. PloS One, 10(6), 2015, e0129153.
59. Tseng, M.-L., A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Syst. Appl. 36:4 (2009), 7738–7748.
60. Tzeng, G.-H., Chiang, C.-H., Li, C.-W., Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Syst. Appl. 32:4 (2007), 1028–1044.
61. Wu, W.-W., Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Syst. Appl. 35:3 (2008), 828–835.
62. Wu, W.-W., Lee, Y.-T., Developing global managers competencies using the fuzzy DEMATEL method. Expert Syst. Appl. 32:2 (2007), 499–507.
63. Wu, H.-H., Chen, H.-K., Shieh, J.-I., Evaluating performance criteria of Employment Service Outreach Program personnel by DEMATEL method. Expert Syst. Appl. 37:7 (2010), 5219–5223.
64. Xia, X., Govindan, K., Zhu, Q., Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. J. Cleaner Prod. 87 (2015), 811–825.
65. Xie, T., Li, C.-d., Wei, Y.-y., Jiang, J.-j., Xie, R., Cross-domain integrating and reasoning spaces for offsite nuclear emergency response. Saf. Sci. 85 (2016), 99–116.
66. Xu, P., Su, X., Mahadevan, S., Li, C., Deng, Y., A non-parametric method to determine basic probability assignment for classification problems. Appl. Intell. 41:3 (2014), 681–693.
67. Yager, R.R., On the fusion of non-independent belief structures. Int. J. Gen Syst 38:5 (2009), 505–531.
68. Yang, Y., Han, D., A new distance-based total uncertainty measure in the theory of belief functions. Knowl.-Based Syst. 94 (2016), 114–123.
69. Yates, D., Paquette, S., Emergency knowledge management and social media technologies: a case study of the 2010 Haitian earthquake. Int. J. Inf. Manage. 31:1 (2011), 6–13.
70. Yu, C., Yang, J., Yang, D., Ma, X., Min, H., An improved conflicting evidence combination approach based on a new supporting probability distance. Expert Syst. Appl. 42:12 (2015), 5139–5149.
71. Zappini, L., Marchesi, S., Polo, A., Viani, F., Massa, A., Evolutionary optimization strategies applied to wireless fleet management in emergency scenarios. 2015 IEEE 15th Mediterranean Microwave Symposium (MMS), 2015, IEEE, 1–4.
72. Zavadskas, E.K., Antuchevicience, J., Hajiagha, S.H.R., The interval-valued intuitionistic fuzzy MULTIMOORA method for group decision making in engineering. Math. Probl. Eng., 2015, 2015, 560690.
73. Zavadskas, E.K., Antucheviciene, J., Turskis, Z., Adeli, H., Hybrid multiple-criteria decision-making methods: a review of applications in engineering. Scientia Iranica 23:1 (2016), 1–20.
74. Zhou, Q., Huang, W., Zhang, Y., Identifying critical success factors in emergency management using a fuzzy DEMATEL method. Saf. Sci. 49:2 (2011), 243–252.