How to cite this paper
Amini, M., Dabbagh, R & Omrani, H. (2019). A fuzzy data envelopment analysis based on credibility theory for estimating road safety.Decision Science Letters , 8(3), 275-284.
Refrences
Aron, M., Seidowsky, R., & Cohen, S. (2013). Safety impact of using the hard shoulder during congested traffic. The case of a managed lane operation on a French urban motorway. Transportation Research Part C: Emerging Technologies, 28, 168-180.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Bao, Q., Ruan, D., Shen, Y., Hermans, E., & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-based systems, 32, 84-90.
Behnood, H.R. (2018). Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator. Transport Policy, 66, 76-84.
Chen, F., Wu, J., Chen, X., Wang, J., & Wang, D. (2016). Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accident Analysis & Prevention, 86, 76-89.
Dubois, D., & Prade, H. (1978) Operations on fuzzy numbers. International Journal of Systems Sciences 9(6), 613–626
Gitelman, V., Doveh, E., & Hakkert, S. (2010). Designing a composite indicator for road safety. Safety Science, 48(9), 1212-1224.
Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2009). Benchmarking road safety: lessons to learn from a data envelopment analysis. Accident Analysis & Prevention, 41(1), 174-182.
Li, X., & Liu, B. (2006). A sufficient and necessary condition for credibility measures. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 14(5), 527–535.
Liu, B. (2002). Toward fuzzy optimization without mathematical ambiguity. Fuzzy Optimization and Decision Making, 1(1), 43–63.
Liu, B. (2004). Uncertainty theory: An introduction to its axiomatic foundations. Berlin: Springer-Verlag.
Liu, B., & Liu, Y. K. (2002). Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 10(4), 445–450.
Liu, Y. K., & Liu, B. (2003). Fuzzy random variables: A scalar expected value operator. Fuzzy Optimization and Decision Making, 2(2), 143–160.
Nikolaou, P., & Dimitriou, L. (2018). Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade. Transportation Research Part A: Policy and Practice, 116, 232-246.
Rosic, M., Resic, D., Kukic, D., Antic, B., & Bozovic, M. (2018). Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method. Accident Analysis & Prevention, 98, 277-286.
Shen, Y., Hermans, E., Bao, Q., Brijs, T., & Wets, G. (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic Injury Prevention, 16(3), 246-253.
Shen, Y., Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, 48, 430-441.
Wang, J., & Huang, H. (2016). Road network safety evaluation using Bayesian hierarchical joint model. Accident Analysis & Prevention, 90, 152-158.
Wegman, F., & Oppe, S. (2010). Benchmarking road safety performances of countries. Safety Science, 48(9), 1203-1211.
Yannis, G., Weijermars, W., Gitelman, V., Vis, M., Chaziris, A., Papadimitriou, E., & Azevedo, C. L. (2013). Road safety performance indicators for the interurban road network. Accident Analysis & Prevention, 60, 384-395.
Zimmermann, H. J. (2001). Fuzzy sets theory and its applications (fourth ed.). Dordrecht, The Netherlands: Kluwer Academic Publishers.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Bao, Q., Ruan, D., Shen, Y., Hermans, E., & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-based systems, 32, 84-90.
Behnood, H.R. (2018). Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator. Transport Policy, 66, 76-84.
Chen, F., Wu, J., Chen, X., Wang, J., & Wang, D. (2016). Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accident Analysis & Prevention, 86, 76-89.
Dubois, D., & Prade, H. (1978) Operations on fuzzy numbers. International Journal of Systems Sciences 9(6), 613–626
Gitelman, V., Doveh, E., & Hakkert, S. (2010). Designing a composite indicator for road safety. Safety Science, 48(9), 1212-1224.
Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2009). Benchmarking road safety: lessons to learn from a data envelopment analysis. Accident Analysis & Prevention, 41(1), 174-182.
Li, X., & Liu, B. (2006). A sufficient and necessary condition for credibility measures. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 14(5), 527–535.
Liu, B. (2002). Toward fuzzy optimization without mathematical ambiguity. Fuzzy Optimization and Decision Making, 1(1), 43–63.
Liu, B. (2004). Uncertainty theory: An introduction to its axiomatic foundations. Berlin: Springer-Verlag.
Liu, B., & Liu, Y. K. (2002). Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 10(4), 445–450.
Liu, Y. K., & Liu, B. (2003). Fuzzy random variables: A scalar expected value operator. Fuzzy Optimization and Decision Making, 2(2), 143–160.
Nikolaou, P., & Dimitriou, L. (2018). Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade. Transportation Research Part A: Policy and Practice, 116, 232-246.
Rosic, M., Resic, D., Kukic, D., Antic, B., & Bozovic, M. (2018). Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method. Accident Analysis & Prevention, 98, 277-286.
Shen, Y., Hermans, E., Bao, Q., Brijs, T., & Wets, G. (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic Injury Prevention, 16(3), 246-253.
Shen, Y., Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, 48, 430-441.
Wang, J., & Huang, H. (2016). Road network safety evaluation using Bayesian hierarchical joint model. Accident Analysis & Prevention, 90, 152-158.
Wegman, F., & Oppe, S. (2010). Benchmarking road safety performances of countries. Safety Science, 48(9), 1203-1211.
Yannis, G., Weijermars, W., Gitelman, V., Vis, M., Chaziris, A., Papadimitriou, E., & Azevedo, C. L. (2013). Road safety performance indicators for the interurban road network. Accident Analysis & Prevention, 60, 384-395.
Zimmermann, H. J. (2001). Fuzzy sets theory and its applications (fourth ed.). Dordrecht, The Netherlands: Kluwer Academic Publishers.