A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A fuzzy multi-criteria decision-making model for construction contractor prequalification
Abstract Selecting an appropriate contractor is essential for the success of any construction project. Contractor prequalification procedure makes it possible to admit for tendering only competent contractor. Prequalification is a multi-criteria decision problem that is, in essence, largely dependent on the uncertainty and vagueness in the nature of construction projects and subjective judgement of the decision maker. This paper presents a systematic prequalification procedure, based on Fuzzy Set Theory, whose main differences and advantages in comparison with other models are the use of an algorithm to handle the inconsistencies in the fuzzy preference relation when pair-wise comparison judgements are used and the use of linguistic assessment or exact assessment of performance of the contractors on qualitative or quantitative criterion, respectively. Finally, a case study for the rehabilitation project of a building at Universidad Politécnica de Cartagena is presented to illustrate the use of the proposed model and to demonstrate its effectiveness.
Highlights ► The success of any construction project depends on the right selection of contractors. ► Contractor prequalification can be regarded as a multi-criteria problem. ► Pair-wise comparison usually involves uncertain or incomplete information. ► We present a fuzzy multi-criteria model for the evaluation of contractors. ► We apply the model to a real rehabilitation project.
A fuzzy multi-criteria decision-making model for construction contractor prequalification
Abstract Selecting an appropriate contractor is essential for the success of any construction project. Contractor prequalification procedure makes it possible to admit for tendering only competent contractor. Prequalification is a multi-criteria decision problem that is, in essence, largely dependent on the uncertainty and vagueness in the nature of construction projects and subjective judgement of the decision maker. This paper presents a systematic prequalification procedure, based on Fuzzy Set Theory, whose main differences and advantages in comparison with other models are the use of an algorithm to handle the inconsistencies in the fuzzy preference relation when pair-wise comparison judgements are used and the use of linguistic assessment or exact assessment of performance of the contractors on qualitative or quantitative criterion, respectively. Finally, a case study for the rehabilitation project of a building at Universidad Politécnica de Cartagena is presented to illustrate the use of the proposed model and to demonstrate its effectiveness.
Highlights ► The success of any construction project depends on the right selection of contractors. ► Contractor prequalification can be regarded as a multi-criteria problem. ► Pair-wise comparison usually involves uncertain or incomplete information. ► We present a fuzzy multi-criteria model for the evaluation of contractors. ► We apply the model to a real rehabilitation project.
A fuzzy multi-criteria decision-making model for construction contractor prequalification
Nieto-Morote, Ana (author) / Ruz-Vila, Francisco (author)
Automation in Construction ; 25 ; 8-19
2012-04-09
12 pages
Article (Journal)
Electronic Resource
English
A fuzzy multi-criteria decision-making model for construction contractor prequalification
| British Library Online Contents | 2012
A fuzzy multi-criteria decision-making model for construction contractor prequalification
| Online Contents | 2012
Multi-criteria decision-making model for EPC contractor prequalification: a hybrid approach
| Emerald Group Publishing | 2024
Contractor prequalification using fuzzy sets
| Online Contents | 1994
A multi-criterion decision-making model for contractor prequalification selection
| Taylor & Francis Verlag | 1994