Fuzzy optimum model of semi-structural decision for bridge lectotype

Wang, Huili; Qin, Shenghui; Zhang, Zhe; Cai-liang, Huang

doi:10.1109/fskd.2010.5569102

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…For example, Wang et al [66] and Jakiet et al [67] proposed a Fuzzy AHP; Gervasio and Simoes Da Silva [35] employed a hybrid method between AHP and PROMETHEE; and Farkas [36] used AHP supported by seven different experts having varying priorities. Alternatively, other authors used different methods.…”

Section: Planning and Designmentioning

confidence: 99%

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

et al. 2016

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Abstract:The construction of bridges has been necessary for societies since ancient times, when the communication between and within towns, cities or communities was established. Until recently, the economic factor has been the only one considered in the decision-making of any type of construction process for bridges. However, nowadays, the objective should not be just the construction of bridges, but of sustainable bridges. Economic, social and environmental factors, which form the three pillars of sustainability, have been recently added. These three factors usually have conflicting perspectives. The decision-making process allows the conversion of a judgment into a rational procedure to reach a compromise solution. The aim of this paper is to review different methods and sustainable criteria used for decision-making at each life-cycle phase of a bridge, from design to recycling or demolition. This paper examines 77 journal articles for which different methods have been used. The most used methods are briefly described. In addition, a statistical study was carried out on the Multiple Attribute Decision-making papers reviewed.

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Section: Planning and Designmentioning

confidence: 99%

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

et al. 2016

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“…Other authors apply MCDM techniques for the sustainable assessment of different materials for the design of bridges (El-Mikawi & Mosallam, 1996;Navarro et al, 2018aNavarro et al, , 2018bNavarro et al, , 2018cNavarro et al, , 2020Enfedaque et al, 2018). A main source of decision-making problems has been found to be the selection of the bridge type (Itoh et al, 2000;Ugwu et al, 2006;Wang et al, 2010;Balali et al, 2014;Kripka et al, 2019;Farkas, 2011;Gu et al, 2011;Arya et al, 2015) or construction techniques (El-Diraby & O'Connor, 2001;Pan, 2008;Salem et al, 2018;Jia et al, 2018;Mousavi et al, 2014;Chen, 2018Chen, , 2020. Ardeshir et al (2014) apply fuzzy AHP for the selection of an adequate bridge construction site considering sustainable criteria.…”

Section: Overview Of the Resultsmentioning

confidence: 99%

“…From the abovementioned five stakeholders suggested by UNEP/SETAC (2009), social impacts on local communities are assessed by 39.5% of the studies, namely those evaluating impacts on cultural heritage, local employment generation, the externalities and the public acceptance of the bridge and its aesthetics. The stakeholder Society is taken into account by 14.3% of the studies, namely those considering impacts on the development of local economies (Ugwu et al, 2006;Aghdaie et al, 2012;Bansal et al, 2017;Cau & Hong, 2017;Navarro et al, 2018aNavarro et al, , 2018bNavarro et al, , 2018cSalem et al, 2018;Wang et al, 2018), on the social wellbeing and the inclusion of innovation (Wang et al, 2010;Ugwu et al, 2006) in the bridge design. The stakeholder Workers is assessed by 19.3% of the articles, which consider the health and safety related to working conditions as a main source of social impacts.…”

Section: Distribution Based On the Sustainability Dimension Assessedmentioning

confidence: 99%

Life Cycle Sustainability Assessment for Multi-Criteria Decision Making in Bridge Design: A Review

Navarro

Penadés-Plà

Martí

et al. 2020

Journal of Civil Engineering and Management

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Sustainable design of infrastructures has become a major matter of study since the recent establishment of the Agenda 2030. This paper provides a systematic literature review on the use of multi-criteria decision making techniques used so far for the sustainable design of bridges. Special attention is put as well on how the reviewed studies assess the sustainable performance of bridge designs along their life cycle from the economic, the environmental and the social perspective. Although SAW and AHP are recurrently used in the sustainable assessment of bridges, the analysis of the most recent articles show that the application of TOPSIS and PROMETHEE techniques are gaining increasing relevance for such purpose. Most of the studies focus on the research of the construction and the maintenance stage of bridges. However, a need for further analysis is identified when it comes to the assessment of the impacts resulting from the End of Life cycle stage of bridges from a sustainable point of view. The use of intuitionistic and neutrosophic logic have been detected as emerging alternatives to the fuzzy approach of decision making problems.

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“…So some nonlinear structural or black-box approaches, e.g. the Markovian analysis [3], rough set [4] and neural network [5] have been introduced. Among these nonlinear models, the back propagation neural network (BPNN) and the radius basis function-based neural network (RBFNN) are two models that gains wide applications.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Heuristic-Optimized Neural Network Modeling Approach for the Prediction of Natural Disasters

Wan

Liang

2013

AMR

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The disaster early-warning and corresponding prediction based on the nonlinear models is one of the important research aspects in the scope of natural disaster prediction and prevention. In this paper, the principle of applying heuristic algorithms to modify the classical neural networks so that some improved models with more efficiency can be achieved is proposed. The detailed structure and implementation of such model is also provided by building a heuristic-optimized neural network (HNN) model. Some regional flood data of China is then applied to conduct the prediction with the proposed model. Simulation results demonstrate that the proposed model can achieve higher accuracy and find an appropriate trade-off between the cost of processing time and precision, compared to the normal nonlinear models.

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Fuzzy optimum model of semi-structural decision for bridge lectotype

Cited by 6 publications

References 3 publications

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

Life Cycle Sustainability Assessment for Multi-Criteria Decision Making in Bridge Design: A Review

A Nonlinear Heuristic-Optimized Neural Network Modeling Approach for the Prediction of Natural Disasters

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