Construction project partnering using fuzzy based decision making methodology

Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A

Volumn 35, Issue 3, 2012, Pages 269-284

  Chen, Tung Tsan ^a   Wu, Tsung Chiang ^a  

^a NATIONAL QUEMOY UNIVERSITY   (Taiwan)

Author keywords

Construction industry; Fuzzy AHP; Fuzzy reasoning; Project partnering

Indexed keywords

CONSTRUCTION INDUSTRY; HIERARCHICAL SYSTEMS; PROJECT MANAGEMENT;

ANALYTICAL HIERARCHY PROCESS; CONSTRUCTION PROCESS; CONSTRUCTION PROJECTS; DECISION MAKING METHODOLOGY; FUZZY AHP; FUZZY REASONING; LIBRARY BUILDINGS; PROJECT PARTNERING;

DECISION MAKING;

EID: 84863000086     PISSN: 02533839     EISSN: 21587299     Source Type: Journal    
DOI: 10.1080/02533839.2012.655462     Document Type: Article

References (34)

1. Adamopoulos, G.I. and Pappis, C.P., 1996. A fuzzylinguistic approach to a multi-criteria sequencing problem. European journal of operational research, 92 (3), 628-636. (Pubitemid 126389261)
2. Akash, B.A., Mamlook, R., and Mohsen, M.S., 1999. Multi-criteria selection of electric power plants using analytical hierarchy process. Electric power systems research, 52 (1), 29-35. (Pubitemid 30504626)
3. An, M., Baker, C., and Zeng, J., 2005. A fuzzy-logic-based approach to qualitative risk modeling in the construction process. World journal of engineering, 2 (1), 1-12.
4. Badri, M., 1999. Combining the AHP and GP for global facility location-allocation problem. International journal of product economic, 62 (3), 237-248.
5. Chan, F.T.S., Jiang, B., and Tang, N.K.H., 2000. The development of intelligent decision support tools to aid the design of flexible manufacturing systems. International journal of production economics, 65 (1), 73-84. (Pubitemid 30564205)
6. Chen, W.T. and Chen, T.T., 2007. Critical success factors for construction partnering in Taiwan. International journal of project management, 25 (5), 475-484. (Pubitemid 46738512)
7. Chen, S.M., 1996. Evaluating weapon systems using fuzzy arithmetic operations. Fuzzy sets and systems, 77 (1), 265-276.
8. Cheng, C.H., 1997. Evaluating naval tactical systems by fuzzy AHP based on the grade value of membership function. European journal of operational research, 96 (2), 343-350.
9. Choi, D.Y. and Oh, K.W., 2000. ASA and its application to multi-criteria decision making. Fuzzy sets and systems, 114 (1), 89-102.
10. Construction Industry Institute (CII), 1991. In search of partnering excellence, Special publication No. 17-1. Austin, TX: Partnering Task Force of CII.
11. Cowan, C., Gray, C., and Larson, E., 1992. Project partnering. Project management journal, 22 (4), 5-12.
12. Crowley, L.G. and Karim, M.A., 1995. Conceptual model of partnering. Journal of management in engineering, 11 (5), 33-39.
13. Fanti, M.P., et al., 1998. Genetic multi-criteria approach to flexible line scheduling. International journal of approximate reasoning, 19 (1), 5-21. (Pubitemid 128401672)
14. Harbi, K.M.A., 2001. Application of AHP in project management. International journal of project management, 19 (4), 19-27.
15. Hauser, D. and Tadikamalla, P., 1996. The analytic hierarchy process in an uncertain environment: a simulation approach. European journal of operational research, 91 (1), 27-37. (Pubitemid 126369633)
16. Health and Safety Executive (HSE), 2001, Improving health and safety in construction: phase 1: data collection, review and structuring. Sudbury, Suffolk, England, HSE Books: Contract Research Report 387.
17. Karsak, E.E. and Tolga, E., 2001. Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments. International journal of production economics, 69 (1), 49-64. (Pubitemid 32029981)
18. Kaufmann, A. and Gupta, M.M., 1991. Introduction to fuzzy arithmetic theory and application. New York: Van Nostrand Reinhold.
19. Klir, G.J. and Folger, T.A., 1988. Fuzzy sets, uncertainty and information. Englewood Cliffs, NJ: Prentice-Hall.
20. Levary, R.R. and Ke, W., 1998. A simulation approach for handling uncertainty in the analytic hierarchy process. European journal of operational research, 106 (1), 116-122. (Pubitemid 128373563)
21. Li, H., Cheng, W.L., and Love, P., 2000. Partnering research in construction engineering. Construct architectural manage, 7 (1), 76-92.
22. Moore, C., Mosley, D., and Slagle, M., 1992. Partnering guidelines for win-win project management. Project management journal, 22 (1), 18-21.
23. Nguyen, V.U., 1985. Tender evaluation by fuzzy sets. Construction engineering and management, 111 (3), 231-243.
24. Parviz, F.R., 2002. A model to quantify the success of projects. Transactions of AACE international, csc.05, 1-4.
25. Pillay, A. and Wang, J., 2003. Modified failure mode and effects analysis using approximate reasoning. Reliability engineering and system safety, 79 (1), 69-85.
26. Saaty, T.L., 1980. The analytic hierarchy process. New York: McGraw-Hill.
27. Saaty, T.L., 1990. Multi-criteria decision making: the analytic hierarchy process. Pittsburgh, PA: RWS Publications.
28. Sousa, J.M.C. and Kaymak, U., 2002. Fuzzy decision making in modeling and control. Singapore: World Scientific.
29. Uher, E.T., 1999. Partnering performance in Australia. Journal of construct procure, 5 (2), 163-176.
30. Yu, W.D. and Skibniewski, M.J., 1999. Quantitative constructability analysis with a neuro-fuzzy knowledgebased multi-criterion decision support system. Automation in construction, 8 (5), 553-565.
31. Zadeh, L.A., 1965. Fuzzy sets. Information and control, 8, 338-353.
32. Zeng, J., An, M., and Chan, A.H.C., 2005. A fuzzy reasoning decision making approach-based multi-expert judgment for construction project risk analysis. In: F. Khosrowshahi, ed. Proceedings of the twenty-first annual conference, association of researchers in construction management (ARCOM). London, UK: ARCOM, 841-852.
33. Zeng, J., An, M., and Smith, N.J., 2007. Application of a fuzzy based decision making methodology to construction project risk assessment. International journal of project management, 25 (6), 589-600. (Pubitemid 47079918)
34. Zimmerman, H.J., 1985. Fuzzy set theory and its application. Hingham, MA: Kluwer-Nijhoff.