The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Using fuzzy risk assessment to rate cost overrun risk in international construction projects
Open accessAbstract
Abstract Determination of an appropriate mark-up while bidding for international construction projects is a critical decision. Level of mark-up is a function of risks associated with a project. Construction companies may benefit from a tool that helps them to assess the level of risk so that they can determine an appropriate mark-up. The aim of this paper is to propose a fuzzy risk assessment methodology for international construction projects and develop a tool to implement the proposed methodology. The proposed methodology uses the influence diagramming method for construction of a risk model and a fuzzy risk assessment approach for estimating a cost overrun risk rating. A computerized system has been developed for an international construction company and applicability of this system during risk assessment at the bidding stage has been tested by using real company and project information. Although the developed tool is company-specific, similar tools may be developed for other companies using the same methodology and expert judgments that reflect different company objectives and risk policies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,844
Modelling global risk factors affecting construction cost performance
Baloi, D., & Price, A. D. F. (2003) · International Journal of Project Management · doi:10.1016/s0263-7863(02)00017-0 · Cited by 587
Risk management for overseas construction projects
Zhi, H. (1995) · International Journal of Project Management · doi:10.1016/0263-7863(95)00015-i · Cited by 407
A proposal for construction project risk assessment using fuzzy logic
Tah, J. H. M., & Carr, V. (2000) · Construction Management and Economics · doi:10.1080/01446190050024905 · Cited by 374
Defuzzification in Fuzzy Controllers
Hellendoorn, H., & Thomas, C. K. (1993) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/ifs-1993-1202 · Cited by 295
ICRAM-1: Model for International Construction Risk Assessment
Hastak, M., & Shaked, A. (2000) · Journal of Management in Engineering · doi:10.1061/(asce)0742-597x(2000)16:1(59 · Cited by 285
Factors Affecting International Construction
Gunhan, S., & Arditi, D. (2005) · Journal of Construction Engineering and Management · doi:10.1061/(asce)0733-9364(2005)131:3(273 · Cited by 239
Approaches for Making Risk-Based Go/No-Go Decision for International Projects
Han, S. H., & Diekmann, J. E. (2001) · Journal of Construction Engineering and Management · doi:10.1061/(asce)0733-9364(2001)127:4(300 · Cited by 203
Self-citationBid/no-bid decision-making – a fuzzy linguistic approach
Lin, C.-T., & Chen, Y.-T. (2004) · International Journal of Project Management · doi:10.1016/j.ijproman.2004.01.005 · Cited by 182
Cited by
A fuzzy approach to construction project risk assessment
Nieto-Morote, A., & Ruz-Vila, F. (2011) · International Journal of Project Management · doi:10.1016/j.ijproman.2010.02.002 · Cited by 464
Towards a better modelling and assessment of construction risk: Insights from a literature review
Taroun, A. (2014) · International Journal of Project Management · doi:10.1016/j.ijproman.2013.03.004 · Cited by 387
Eybpoosh, M., Dikmen, I., & Talat Birgonul, M. (2011) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000382 · Cited by 217
Self-citationRisk paths in international construction projects: Case study from Chinese contractors
Liu, J., Zhao, X., & Yan, P. (2016) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001116 · Cited by 203
Afzal, F., Yunfei, S., Nazir, M., & Bhatti, S. M. (2021) · International Journal of Managing Projects in Business · doi:10.1108/ijmpb-02-2019-0047 · Cited by 172
Metadata
- Authors
- Dikmen, I., Birgonul, M. T., & Han, S.
- Venue
- International Journal of Project Management
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 25
- Issue
- 5
- Pages
- 494-505
- ISSN
- 0263-7863 (ISSN-L)
- OpenAlex
- W2022926672
- Cited by
- 374
- References
- 25
- FWCI
- 17.17
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Using fuzzy risk assessment to rate cost overrun risk in international construction projects. https://app.cochat.ai/papers/10.1016/j.ijproman.2006.12.002
- The paper
- Dikmen, I., Birgonul, M. T., & Han, S. (2007). Using fuzzy risk assessment to rate cost overrun risk in international construction projects. International Journal of Project Management. https://doi.org/10.1016/j.ijproman.2006.12.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.