Construction Site Layout Evaluation by Intuitionistic Fuzzy TOPSIS Model

Abstract:

Effective construction site layout planning (CSLP) shall improve construction operations efficiently and enhance work environment safety. The majority researches works on CSLP focused on developing different algorithms and program to generate site layout alternatives using quantitative and qualitative factors involved in the interaction flows. However, some qualitative factors, such as security and noise control are not taken into consideration. This study proposed intuitionistic fuzzy TOPSIS method to evaluate and select the best site layout from site layout alternatives in terms of the project-specific attributes, which are neglected and hard to quantify in generating site layout alternatives. The results show that the proposed method improves the quality of decision making in evaluation and selection of the best construction site layout.

• Periodical: Applied Mechanics and Materials (Volumes 71-78)
• Pages: 583-588
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.71-78.583
• Online since: July 2011
• Authors: Xin Ning, Li Guo Wang
• Keywords: Construction Site Layout, Intuitionistic Fuzzy Set, Model, TOPSIS

References

[1] I. D. Tommelein: SightPlan: An expert system that models and augments human decision making for designing construction site layout, Ph.D. thesis, Stanford University, CA, (1989).

[2] H. Li, and P. E. D. Love: Genetic search for solving construction site-level unequal-area facility layout problems, Automation in Construction, Vol. 9 (2000), pp.217-226.

DOI: 10.1016/s0926-5805(99)00006-0

[3] S. A. Samdani, L Bhakal, and A.K. Singh: Site layout of temporary construction facilities using ant colony optimization. In : ASCE Los Angeles Section International Committee 4th International Engineering and Construction Conference at California State University, Fullerton on July 28, (2006).

[4] K. T. Atanassov, Intuitionsitic fuzzy sets, Fuzzy sets and systems, Vol. 20 (1986), pp.87-96.

DOI: 10.1016/s0165-0114(86)80034-3

[5] L. A. Zadeh: The concept of a linguistic variable and its application to approximate reasoning-I, Information Sciences, vol. 8 (1975), pp.199-249.

DOI: 10.1016/0020-0255(75)90036-5

[6] C. L. Hwang and K. Yoon: Multiple attribute decision making: methods and applications, a state-of-art survey, Springer-Verlag, New York, (1981).

[7] D. F. Li, Multiattribute decision making models and methods using intuitionistic fuzzy sets, Journal of computer and system sciences, vol. 70 (2005), pp.73-85.

DOI: 10.1016/j.jcss.2004.06.002

[8] C. Q. Tan and Q. Zhang: Intuitionistic fuzzy set method for fuzzy multiple attribute decision making, Fuzzy systems and mathematics, vol. 20 (2006), pp.71-76.

DOI: 10.1109/icsmc.2006.384913