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2019
DOI: 10.3846/jcem.2019.11568
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Multi-Criteria Decision Making for Identification of Unbalanced Bidding

Abstract: Unbalanced bidding is a serious problem in the competitive bidding practices of construction projects. Identification and prevention of unbalanced bidding is an important and complexity task for owners. This paper aims to propose an identification model of unbalanced bidding from multi-criteria decision making (MCDM) perspective. The VIKOR method is employed to detect unbalanced bidding, in which the line items and bidders are considered as criteria and alternatives in MCDM, respectively. And the engineer’s es… Show more

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Cited by 22 publications
(13 citation statements)
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“…Other types of SA of P f like [47] or SA of the quantile [48] have not been studied. Numerous other types of sensitivity measures exist, such as [49][50][51][52][53][54][55][56][57][58][59], and it cannot be expected that the conclusions would be confirmed using any sensitivity index. The advantage of SA subordinated to a contrast is the use of a single platform (contrast) for the analysis of different parameters associated with a probability distribution.…”
Section: Discussionmentioning
confidence: 99%
“…Other types of SA of P f like [47] or SA of the quantile [48] have not been studied. Numerous other types of sensitivity measures exist, such as [49][50][51][52][53][54][55][56][57][58][59], and it cannot be expected that the conclusions would be confirmed using any sensitivity index. The advantage of SA subordinated to a contrast is the use of a single platform (contrast) for the analysis of different parameters associated with a probability distribution.…”
Section: Discussionmentioning
confidence: 99%
“…Reviews of sensitivity methods in interdisciplinary contexts are offered in [6], [7], [8] and [9]. In terms of utilization in the construction industry, the methods of sensitivity analysis (SA) can be divided into global sensitivity analysis [10], [11], [12], [13], etc., reliability-oriented sensitivity analysis ROSA [14], [15], [16], [17], etc., and other specific types of SA, see, for e.g., [18], [19], [20] and [21]. The first types of analyses focus on the distribution or certain moments of the output function while ROSA considers P f ,  or design quantiles as the quantity of interest.…”
Section: Introductionmentioning
confidence: 99%
“…In civil engineering, structural reliability is assessed using the well-developed co cept of limit states [59,60], which clearly defines the design quantiles of resistance and t In civil engineering, SA is focused on the stability of steel frames [20], deflection of concrete beams with correlated inputs [21], multiple-criteria decision-making (MCDM) [22], structural response to stochastic dynamic loads [23], rheological properties of asphalt [24], thermal performance of facades [25], strength of reinforced concrete beams [26], use of machines during the construction of tunnels [27], stress-based topology of structural frames [28], seismic response of steel plate shear walls [29], deformation of retaining walls [30], multiple-attribute decision making (MADM) [31], efficiency of the operations of transportation companies [32], unbalanced bidding prices in construction projects [33], shear buckling strength [34], reliability index β of steel girders [35], system reliability [36], seismic response and fragility of transmission toners [37], shear strength of corrugated web panels [38], inelastic response of conical shells [39], fatigue limit state [40], corrosion depth [41], building-specific seismic loss [42], vibration response of train-bridge coupled systems [43], shear strength of reinforced concrete beam-column joints [44], forecasts of groundwater levels [45], equivalent rock strength [46], vertical displacement and maximum axial force of piles [47], regional-scale subsurface flow [48], ultimate limit state of cross-beam structures [49], serviceability limit state of structures [50], deflection of steel frames…”
Section: Reliability-oriented Sensitivity Analysismentioning
confidence: 99%