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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Format: | Electronic Book Chapter |
Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2019
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Antuchevi?ien?, Jurgita |4 auth | |
700 | 1 | |a Bausys, Romualdas |4 auth | |
700 | 1 | |a Zavadskas, Edmundas Kazimieras |4 auth | |
245 | 1 | 0 | |a Civil Engineering and Symmetry |
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520 | |a 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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650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a railway wagon | ||
653 | |a rough sets | ||
653 | |a Additive Ratio Assessment (ARAS) | ||
653 | |a neural network | ||
653 | |a cost estimation | ||
653 | |a boarding/deboarding strategies | ||
653 | |a optimisation | ||
653 | |a multi-criteria decision-making (MCDM) | ||
653 | |a Step-Wise Weight Assessment Ratio Analysis (SWARA) | ||
653 | |a ruled surface | ||
653 | |a seat preference | ||
653 | |a image processing | ||
653 | |a risk management | ||
653 | |a fuzzy sets | ||
653 | |a supply chain | ||
653 | |a Grasshopper | ||
653 | |a experimental test | ||
653 | |a parametric design | ||
653 | |a rough Best-Worst Method (BWM) | ||
653 | |a EDAS | ||
653 | |a artificial neural networks | ||
653 | |a 3D modelling | ||
653 | |a civil engineering | ||
653 | |a shovel machine | ||
653 | |a interval-valued fuzzy Additive Ratio Assessment | ||
653 | |a airplane turn time | ||
653 | |a oil and gas well drilling projects | ||
653 | |a MCDM | ||
653 | |a roof shell | ||
653 | |a consistent fuzzy preference relation (CFPR) | ||
653 | |a DEMATEL | ||
653 | |a tool-flank-wear monitoring | ||
653 | |a analytical network process (ANP) | ||
653 | |a logistics | ||
653 | |a multi criteria decision making | ||
653 | |a internal transport | ||
653 | |a conceptual design | ||
653 | |a hybrid MCDM | ||
653 | |a structural analysis | ||
653 | |a D number | ||
653 | |a construction | ||
653 | |a architecture | ||
653 | |a multiple-criteria decision-making (MCDM) | ||
653 | |a performance evaluation | ||
653 | |a rough number | ||
653 | |a construction project risk | ||
653 | |a multi-attributive border approximation area comparison (MABAC) | ||
653 | |a finite element method (FEM) | ||
653 | |a manufacturing engineering | ||
653 | |a transportation | ||
653 | |a experimental testing | ||
653 | |a hybrid model | ||
653 | |a flexible manufacturing | ||
653 | |a rough Simple Additive Weighting (SAW) | ||
653 | |a D numbers | ||
653 | |a multivariate regression | ||
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856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/43314 |7 0 |z DOAB: description of the publication |