Evidential reasoning approach for bridge condition assessment

Wang, Ying‐Ming; Elhag, Taha

doi:10.1016/j.eswa.2006.10.006

Cited by 83 publications

(41 citation statements)

References 27 publications

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“…However, the numbers of experts and senior engineers are insufficient in the area of maintenance of bridge; for that reason, how to translate tacit experience to explicit knowledge becomes a major problem in bridge maintenance (Gattulli and Chiaramonte 2005;Miyamoto et al 2000;Testa 2002;Wang and Elhag 2008).…”

Section: Case Studymentioning

confidence: 99%

The Use of Knowledge Map Model in Construction Industry

Tserng

Yin

Lee

2010

Journal of Civil Engineering and Management

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Abstract.The construction industry consists of many unstructured documents, which accumulate a large volume of tacit knowledge. In the general domain, a Knowledge Map can illustrate connections of knowledge and transfer tacit knowledge to explicit knowledge, but this is unsuitable on specific domain such as construction industry. This research generalized existing mapping rules to be applied to general and specific domain; and presented a novel and practical model for building knowledge map, named Knowledge Map Model (KMM). This model comprised of five procedures, including identifying problems, discussing with experts and users, establishing the classification structure, establishing the document base, and deciding the display model. Furthermore, this research establishes Knowledge Map Model System (KMMS) as a major tool to improve the knowledge map reused and shared among the practical process. Finally, this research validated the KMM in a real project of bridge maintenance.

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Section: Case Studymentioning

confidence: 99%

The Use of Knowledge Map Model in Construction Industry

Tserng

Yin

Lee

2010

Journal of Civil Engineering and Management

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“…Instead of a conventional decision matrix, the belief decision matrix can deal with the above shortcomings, for modelling MCA problems. The subsequent research on the ER approach demonstrates that the use of the belief decision matrix also provides several additional advantages [15,18,19,21,[23][24][25]. For instance, the belief decision matrix provides a novel structure to model MCA problems, by assessing each alternative based on a two-dimensional variable (i.e., as explained above, assessment grades and their associated degrees of belief) while dealing with both quantitative and qualitative criteria with uncertainties, fuzziness, and even incomplete evaluation values.…”

Section: Problem Identification: Conventional Decision Matrix Vs Belmentioning

confidence: 99%

“…Then, the D-S combination rule of evidence is modified and used to aggregate the assessment attributes. The ER approach has been widely used in various areas such as motorcycle evaluation [19], bridge condition assessment [24], nuclear waste repository assessment [21], environmental impact assessment [23], weapon system capability assessment [15], and recently in a combined medical quality assessment [25]. Due to the distributed modelling capability and belief structure, we chose the ER to model the RES prioritization problem.…”

Section: The Evidential Reasoning Approach For Res Prioritizationmentioning

confidence: 99%

Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources

Sellak¹,

Ouhbi²,

Frikh³

2017

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Nowadays, making strategic decisions in a sensitive sector such as energy planning that usually requires allocating huge funds, time, and resources is a difficult task. For instance, prioritizing a set of Renewable Energy Sources (RES) is a complex multi-dimensional task that typically involves a range of conflicting criteria featuring different forms of evaluation data in an uncertain decision-making environment. This process is aligned with several sources that can be uncertain, including imprecise information, limited domain knowledge from decisionmakers, and failures to provide accurate judgments from experts. In this study, we propose to use the Evidential Reasoning (ER) approach to manage the expanding complexities and uncertainties in RES prioritization problem. The ER approach is employed as a multiple criteria framework to assess the appropriateness regarding the use of different renewable energy technologies. A case study is provided to illustrate the implementation process. Results show that using the ER approach when assessing the sustainability of different RES under uncertainty allows providing robust decisions, which brings out a more accurate, effective, and better-informed decision-making tool to conduct the evaluation process.

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“…The analytical ER algorithm is then proposed 8 based on the recursive algorithm and Yen's combination rule, 9 in which only one step of calculation is to be conducted to generate the overall performance. Secondly, the ER approach has been applied to many real world decision making issues, for instance, motorcycle and car evaluation, 2,3,7 large engineering product evaluation, 10 general cargo ship design, 11 supplier selection in VMI alliance circumstance, 12 contractor selection, 13 safety analysis, 14,15 self assessment, 16,17,18 environmental impact assessment, 8 pipeline leak detection, 19 strategic R&D project assessment, 20 new product development, 21 bridge condition assessment, 22 consumer preference prediction, 23 and so on. Thirdly, on the implementation of the ER approach, a window-based and graphically designed decision support software package called intelligent decision system (IDS) is developed on the basis of the ER approach.…”

Section: Introductionmentioning

confidence: 99%

Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties

Zhou¹,

Liu²,

Yang³

et al. 2013

IJCIS

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Multiple attribute decision analysis (MADA) problems often include both qualitative and quantitative attributes which may be either precise or inaccurate. The evidential reasoning (ER) approach is one of reliable and rational methods for dealing with MADA problems and can generate aggregated assessments from a variety of attributes. In many real world decision situations, accurate assessments are difficult to provide such as in group decision situations. Extensive research in dealing with imprecise or uncertain belief structures has been conducted on the basis of the ER approach, such as interval belief degrees, interval weights and interval uncertainty. In this paper, the weights of attributes and utilities of evaluation grades are considered to be fuzzy numbers for the ER approach. Fuzzy analytic hierarchy process (FAHP) is used for generating triangular fuzzy weights for attributes from a triangular fuzzy judgment matrix provided by an expert. The weighted arithmetic mean method is proposed to aggregate the triangular fuzzy weights of attributes from a group of experts. α-cut is then used to transform the combined triangular fuzzy weights to interval weights for the purpose of dealing with the fuzzy type of weight and utility in a consistent way. Several pairs of group evidential reasoning based nonlinear programming models are then designed to calculate the global fuzzy belief degrees and the overall expected interval utilities of each alternative with interval weights and interval utilities as constraints. A case study is conducted to show the validity and effectiveness of the proposed approach and sensitivity analysis is also conducted on interval weights generated by different α-cuts.

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Evidential reasoning approach for bridge condition assessment

Cited by 83 publications

References 27 publications

The Use of Knowledge Map Model in Construction Industry

The Use of Knowledge Map Model in Construction Industry

Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources

Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties

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