Comparison of FAHP and TOPSIS for Evacuation Capability Assessment of High-rise Buildings
A lot of computer-based methods have been developed
to assess the evacuation capability (EC) of high-rise buildings.
Because softwares are time-consuming and not proper for on scene
applications, we adopted two methods, fuzzy analytic hierarchy
process (FAHP) and technique for order preference by similarity to an
ideal solution (TOPSIS), for EC assessment of a high-rise building in
Jinan. The EC scores obtained with the two methods and the
evacuation time acquired with Pathfinder 2009 for floors 47-60 of the
building were compared with each other. The results show that FAHP
performs better than TOPSIS for EC assessment of high-rise buildings,
especially in the aspect of dealing with the effect of occupant type and
distance to exit on EC, tackling complex problem with multi-level
structure of criteria, and requiring less amount of computation.
However, both FAHP and TOPSIS failed to appropriately handle the
situation where the exit width changes while occupants are few.
[1] UNFPA, State of world population 2010. New York: UNFPA, 2010.
[2] S. Gwynne, E. R. Galea, M. Owen, P. J. Lawrence, and L. Filippidis, "A
review of the methodologies used in the computer simulation of
evacuation from the built environment," Build. Environ., vol. 34, pp.
741-749, 1999.
[3] S. Gwynne, E. R. Galea, M. Owen, and L. Filippidis, "A systematic
comparison of model predictions produced by the buildingEXODUS
evacuation model and the Tsukuba pavilion evacuation data," J. Appl.
Fire Sci., vol. 7, no. 3, pp. 235-266, 1998.
[4] P. A. Thompson, E. W. Marchant, "A computer-model for the evacuation
of large building populations," Fire Safety J., vol. 24, no. 2, pp. 131-148,
1995.
[5] S. M. Lo, Z. Fang, P. Lin, G. S. Zhi, "An evacuation model: the SGEM
package," Fire Safety J., vol. 39, no. 3, pp. 169-190, 2004.
[6] J. P. Yuan, Z. Fang, Y. C. Wang, S. M. Lo, P. Wang, "Integrated network
approach of evacuation simulation for large complex buildings," Fire
Safety J., vol. 44, no. 2, pp. 266-275, 2009.
[7] T. L. Saaty, The analytic hierarchy process. New York: McGraw-Hill,
1980.
[8] L. A. Zadeh, "Fuzzy sets," Inform. Control, vol. 8, pp. 338-353. 1965.
[9] R. R. Yager, S. Ovchinnikov, R. M. Tong, H. T. Nguyen, L.A. Zadeh:
Selected Papers on Fuzzy Sets and Applications. New York: John Wiley
& Sons, 1987.
[10] P. J. M. Van Laarhoven, W. Pedrycz, "A fuzzy extension of Saary's
priority theory," Fuzzy Set Syst., vol. 11, no. 3, pp. 229-241, 1983.
[11] T. L. Saaty, "How to make a decision-the analytic hierarchy process,"
Interfaces, vol. 24, no. 6, pp. 19-43, 1994.
[12] C. L. Hwang, and K. Yoon, Multiple attribute decision making: Methods
and applications. New York: Springer-Verlag, 1981.
[13] L. Shi, Q. Y. Xie, X. D. Cheng, L. Chen, Y. Zhou, and R. F. Zhang,
"Developing a Database for Emergency Evacuation Model," Build.
Environ., vol. 44, pp. 1724-1729, 2009.
[14] K. Togawa, 1955. Study on Fire Escapes Based on the Observation of
Multitude Currents. Japanese Building Research Institute Report 14,
Tokyo.
[15] C. Kahraman, S. Cevik, N. Y. Ates, and M. Gulbay, "Fuzzy multi-criteria
evaluation of industrial robotic systems," Comput. Ind. Eng., vol. 52, pp.
143-168, 2007.
[16] J. W. Wang, C. H. Cheng, K. C. Huang, "Fuzzy hierarchical TOPSIS for
supplier selection," Appl. Soft Comput., vol. 9, pp. 377-386, 2009.
[1] UNFPA, State of world population 2010. New York: UNFPA, 2010.
[2] S. Gwynne, E. R. Galea, M. Owen, P. J. Lawrence, and L. Filippidis, "A
review of the methodologies used in the computer simulation of
evacuation from the built environment," Build. Environ., vol. 34, pp.
741-749, 1999.
[3] S. Gwynne, E. R. Galea, M. Owen, and L. Filippidis, "A systematic
comparison of model predictions produced by the buildingEXODUS
evacuation model and the Tsukuba pavilion evacuation data," J. Appl.
Fire Sci., vol. 7, no. 3, pp. 235-266, 1998.
[4] P. A. Thompson, E. W. Marchant, "A computer-model for the evacuation
of large building populations," Fire Safety J., vol. 24, no. 2, pp. 131-148,
1995.
[5] S. M. Lo, Z. Fang, P. Lin, G. S. Zhi, "An evacuation model: the SGEM
package," Fire Safety J., vol. 39, no. 3, pp. 169-190, 2004.
[6] J. P. Yuan, Z. Fang, Y. C. Wang, S. M. Lo, P. Wang, "Integrated network
approach of evacuation simulation for large complex buildings," Fire
Safety J., vol. 44, no. 2, pp. 266-275, 2009.
[7] T. L. Saaty, The analytic hierarchy process. New York: McGraw-Hill,
1980.
[8] L. A. Zadeh, "Fuzzy sets," Inform. Control, vol. 8, pp. 338-353. 1965.
[9] R. R. Yager, S. Ovchinnikov, R. M. Tong, H. T. Nguyen, L.A. Zadeh:
Selected Papers on Fuzzy Sets and Applications. New York: John Wiley
& Sons, 1987.
[10] P. J. M. Van Laarhoven, W. Pedrycz, "A fuzzy extension of Saary's
priority theory," Fuzzy Set Syst., vol. 11, no. 3, pp. 229-241, 1983.
[11] T. L. Saaty, "How to make a decision-the analytic hierarchy process,"
Interfaces, vol. 24, no. 6, pp. 19-43, 1994.
[12] C. L. Hwang, and K. Yoon, Multiple attribute decision making: Methods
and applications. New York: Springer-Verlag, 1981.
[13] L. Shi, Q. Y. Xie, X. D. Cheng, L. Chen, Y. Zhou, and R. F. Zhang,
"Developing a Database for Emergency Evacuation Model," Build.
Environ., vol. 44, pp. 1724-1729, 2009.
[14] K. Togawa, 1955. Study on Fire Escapes Based on the Observation of
Multitude Currents. Japanese Building Research Institute Report 14,
Tokyo.
[15] C. Kahraman, S. Cevik, N. Y. Ates, and M. Gulbay, "Fuzzy multi-criteria
evaluation of industrial robotic systems," Comput. Ind. Eng., vol. 52, pp.
143-168, 2007.
[16] J. W. Wang, C. H. Cheng, K. C. Huang, "Fuzzy hierarchical TOPSIS for
supplier selection," Appl. Soft Comput., vol. 9, pp. 377-386, 2009.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:54509", author = "Peng Mei and Yan-Jun Qi and Yu Cui and Song Lu and He-Ping Zhang", title = "Comparison of FAHP and TOPSIS for Evacuation Capability Assessment of High-rise Buildings", abstract = "A lot of computer-based methods have been developed
to assess the evacuation capability (EC) of high-rise buildings.
Because softwares are time-consuming and not proper for on scene
applications, we adopted two methods, fuzzy analytic hierarchy
process (FAHP) and technique for order preference by similarity to an
ideal solution (TOPSIS), for EC assessment of a high-rise building in
Jinan. The EC scores obtained with the two methods and the
evacuation time acquired with Pathfinder 2009 for floors 47-60 of the
building were compared with each other. The results show that FAHP
performs better than TOPSIS for EC assessment of high-rise buildings,
especially in the aspect of dealing with the effect of occupant type and
distance to exit on EC, tackling complex problem with multi-level
structure of criteria, and requiring less amount of computation.
However, both FAHP and TOPSIS failed to appropriately handle the
situation where the exit width changes while occupants are few.", keywords = "Evacuation capability assessment, FAHP, high-rise
buildings, TOPSIS.", volume = "6", number = "5", pages = "531-4", }