LEADER 04569nam 2200985z- 450 001 9910346836603321 005 20231214133346.0 010 $a3-03921-003-3 035 $a(CKB)4920000000095274 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/43314 035 $a(EXLCZ)994920000000095274 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCivil Engineering and Symmetry 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (198 p.) 311 $a3-03921-002-5 330 $aA 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. 610 $arailway wagon 610 $arough sets 610 $aAdditive Ratio Assessment (ARAS) 610 $aneural network 610 $acost estimation 610 $aboarding/deboarding strategies 610 $aoptimisation 610 $amulti-criteria decision-making (MCDM) 610 $aStep-Wise Weight Assessment Ratio Analysis (SWARA) 610 $aruled surface 610 $aseat preference 610 $aimage processing 610 $arisk management 610 $afuzzy sets 610 $asupply chain 610 $aGrasshopper 610 $aexperimental test 610 $aparametric design 610 $arough Best?Worst Method (BWM) 610 $aEDAS 610 $aartificial neural networks 610 $a3D modelling 610 $acivil engineering 610 $ashovel machine 610 $ainterval-valued fuzzy Additive Ratio Assessment 610 $aairplane turn time 610 $aoil and gas well drilling projects 610 $aMCDM 610 $aroof shell 610 $aconsistent fuzzy preference relation (CFPR) 610 $aDEMATEL 610 $atool-flank-wear monitoring 610 $aanalytical network process (ANP) 610 $alogistics 610 $amulti criteria decision making 610 $ainternal transport 610 $aconceptual design 610 $ahybrid MCDM 610 $astructural analysis 610 $aD number 610 $aconstruction 610 $aarchitecture 610 $amultiple-criteria decision-making (MCDM) 610 $aperformance evaluation 610 $arough number 610 $aconstruction project risk 610 $amulti-attributive border approximation area comparison (MABAC) 610 $afinite element method (FEM) 610 $amanufacturing engineering 610 $atransportation 610 $aexperimental testing 610 $ahybrid model 610 $aflexible manufacturing 610 $arough Simple Additive Weighting (SAW) 610 $aD numbers 610 $amultivariate regression 700 $aAntuchevi?ien?$b Jurgita$4auth$01294171 702 $aBausys$b Romualdas$4auth 702 $aZavadskas$b Edmundas Kazimieras$4auth 906 $aBOOK 912 $a9910346836603321 996 $aCivil Engineering and Symmetry$93023034 997 $aUNINA