TY - BOOK ID - 33684 TI - Civil Engineering and Symmetry AU - Zavadskas, Edmundas Kazimieras AU - Antuchevi?ien?, Jurgita AU - Bausys, Romualdas PY - 2019 SN - 9783039210022 / 9783039210039 DB - DOAB KW - airplane turn time KW - boarding/deboarding strategies KW - seat preference KW - experimental test KW - internal transport KW - rough Best–Worst Method (BWM) KW - rough Simple Additive Weighting (SAW) KW - logistics KW - railway wagon KW - construction KW - rough number KW - EDAS KW - DEMATEL KW - MCDM KW - supply chain KW - image processing KW - flexible manufacturing KW - tool-flank-wear monitoring KW - artificial neural networks KW - cost estimation KW - shovel machine KW - neural network KW - multivariate regression KW - hybrid model KW - performance evaluation KW - oil and gas well drilling projects KW - Step-Wise Weight Assessment Ratio Analysis (SWARA) KW - interval-valued fuzzy Additive Ratio Assessment KW - Additive Ratio Assessment (ARAS) KW - D number KW - analytical network process (ANP) KW - multi-attributive border approximation area comparison (MABAC) KW - multi-criteria decision-making (MCDM) KW - consistent fuzzy preference relation (CFPR) KW - construction project risk KW - risk management KW - civil engineering KW - architecture KW - conceptual design KW - parametric design KW - structural analysis KW - Grasshopper KW - optimisation KW - finite element method (FEM) KW - ruled surface KW - roof shell KW - multi criteria decision making KW - multiple-criteria decision-making (MCDM) KW - hybrid MCDM KW - fuzzy sets KW - rough sets KW - D numbers KW - 3D modelling KW - image processing KW - experimental testing KW - civil engineering KW - manufacturing engineering KW - transportation KW - logistics UR - https://www.doabooks.org/doab?func=search&query=rid:33684 AB - 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.