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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Bibliographic Details
Main Author: Antuchevi?ien?, Jurgita (auth)
Other Authors: Bausys, Romualdas (auth), Zavadskas, Edmundas Kazimieras (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
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DOAB: description of the publication
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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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653 |a railway wagon 
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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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