Civil Engineering and Symmetry

A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and...

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Main Authors: Antuchevi?ien?, Jurgita, Bausys, Romualdas, Zavadskas, Edmundas Kazimieras
Formato: Online
Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Acesso em linha:33684
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author Antuchevi?ien?, Jurgita
Bausys, Romualdas
Zavadskas, Edmundas Kazimieras
author_browse Antuchevi?ien?, Jurgita
Bausys, Romualdas
Zavadskas, Edmundas Kazimieras
author_facet Antuchevi?ien?, Jurgita
Bausys, Romualdas
Zavadskas, Edmundas Kazimieras
author_sort Antuchevi?ien?, Jurgita
collection Directory of Open Access Books
description A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.<false,>
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-433142024-04-11T15:11:28Z Civil Engineering and Symmetry Antuchevi?ien?, Jurgita Bausys, Romualdas Zavadskas, Edmundas Kazimieras TA1-2040 T1-995 railway wagon rough sets Additive Ratio Assessment (ARAS) neural network cost estimation boarding/deboarding strategies optimisation multi-criteria decision-making (MCDM) Step-Wise Weight Assessment Ratio Analysis (SWARA) ruled surface seat preference image processing risk management fuzzy sets supply chain Grasshopper experimental test parametric design rough Best–Worst Method (BWM) EDAS artificial neural networks 3D modelling civil engineering shovel machine interval-valued fuzzy Additive Ratio Assessment airplane turn time oil and gas well drilling projects MCDM roof shell consistent fuzzy preference relation (CFPR) DEMATEL tool-flank-wear monitoring analytical network process (ANP) logistics multi criteria decision making internal transport conceptual design hybrid MCDM structural analysis D number construction architecture multiple-criteria decision-making (MCDM) performance evaluation rough number construction project risk multi-attributive border approximation area comparison (MABAC) finite element method (FEM) manufacturing engineering transportation experimental testing hybrid model flexible manufacturing rough Simple Additive Weighting (SAW) D numbers multivariate regression thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.<false,> 2021-02-11T09:57:55Z 2021-02-11T09:57:55Z 2019-06-26 08:44:06 2019 book 33684 9783039210022 9783039210039 https://directory.doabooks.org/handle/20.500.12854/43314 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1349 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-003-9 10.3390/books978-3-03921-003-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039210022 9783039210039 198 open access
spellingShingle TA1-2040
T1-995
railway wagon
rough sets
Additive Ratio Assessment (ARAS)
neural network
cost estimation
boarding/deboarding strategies
optimisation
multi-criteria decision-making (MCDM)
Step-Wise Weight Assessment Ratio Analysis (SWARA)
ruled surface
seat preference
image processing
risk management
fuzzy sets
supply chain
Grasshopper
experimental test
parametric design
rough Best–Worst Method (BWM)
EDAS
artificial neural networks
3D modelling
civil engineering
shovel machine
interval-valued fuzzy Additive Ratio Assessment
airplane turn time
oil and gas well drilling projects
MCDM
roof shell
consistent fuzzy preference relation (CFPR)
DEMATEL
tool-flank-wear monitoring
analytical network process (ANP)
logistics
multi criteria decision making
internal transport
conceptual design
hybrid MCDM
structural analysis
D number
construction
architecture
multiple-criteria decision-making (MCDM)
performance evaluation
rough number
construction project risk
multi-attributive border approximation area comparison (MABAC)
finite element method (FEM)
manufacturing engineering
transportation
experimental testing
hybrid model
flexible manufacturing
rough Simple Additive Weighting (SAW)
D numbers
multivariate regression
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Antuchevi?ien?, Jurgita
Bausys, Romualdas
Zavadskas, Edmundas Kazimieras
Civil Engineering and Symmetry
title Civil Engineering and Symmetry
title_full Civil Engineering and Symmetry
title_fullStr Civil Engineering and Symmetry
title_full_unstemmed Civil Engineering and Symmetry
title_short Civil Engineering and Symmetry
title_sort civil engineering and symmetry
topic TA1-2040
T1-995
railway wagon
rough sets
Additive Ratio Assessment (ARAS)
neural network
cost estimation
boarding/deboarding strategies
optimisation
multi-criteria decision-making (MCDM)
Step-Wise Weight Assessment Ratio Analysis (SWARA)
ruled surface
seat preference
image processing
risk management
fuzzy sets
supply chain
Grasshopper
experimental test
parametric design
rough Best–Worst Method (BWM)
EDAS
artificial neural networks
3D modelling
civil engineering
shovel machine
interval-valued fuzzy Additive Ratio Assessment
airplane turn time
oil and gas well drilling projects
MCDM
roof shell
consistent fuzzy preference relation (CFPR)
DEMATEL
tool-flank-wear monitoring
analytical network process (ANP)
logistics
multi criteria decision making
internal transport
conceptual design
hybrid MCDM
structural analysis
D number
construction
architecture
multiple-criteria decision-making (MCDM)
performance evaluation
rough number
construction project risk
multi-attributive border approximation area comparison (MABAC)
finite element method (FEM)
manufacturing engineering
transportation
experimental testing
hybrid model
flexible manufacturing
rough Simple Additive Weighting (SAW)
D numbers
multivariate regression
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet TA1-2040
T1-995
railway wagon
rough sets
Additive Ratio Assessment (ARAS)
neural network
cost estimation
boarding/deboarding strategies
optimisation
multi-criteria decision-making (MCDM)
Step-Wise Weight Assessment Ratio Analysis (SWARA)
ruled surface
seat preference
image processing
risk management
fuzzy sets
supply chain
Grasshopper
experimental test
parametric design
rough Best–Worst Method (BWM)
EDAS
artificial neural networks
3D modelling
civil engineering
shovel machine
interval-valued fuzzy Additive Ratio Assessment
airplane turn time
oil and gas well drilling projects
MCDM
roof shell
consistent fuzzy preference relation (CFPR)
DEMATEL
tool-flank-wear monitoring
analytical network process (ANP)
logistics
multi criteria decision making
internal transport
conceptual design
hybrid MCDM
structural analysis
D number
construction
architecture
multiple-criteria decision-making (MCDM)
performance evaluation
rough number
construction project risk
multi-attributive border approximation area comparison (MABAC)
finite element method (FEM)
manufacturing engineering
transportation
experimental testing
hybrid model
flexible manufacturing
rough Simple Additive Weighting (SAW)
D numbers
multivariate regression
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url 33684
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