| 000 | 04737naaaa2200949uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/43314 | ||
| 005 | 20220220095143.0 | ||
| 020 | _abooks978-3-03921-003-9 | ||
| 020 | _a9783039210022 | ||
| 020 | _a9783039210039 | ||
| 024 | 7 |
_a10.3390/books978-3-03921-003-9 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aAntuchevi?ien?, Jurgita _4auth |
|
| 700 | 1 |
_aBausys, Romualdas _4auth |
|
| 700 | 1 |
_aZavadskas, Edmundas Kazimieras _4auth |
|
| 245 | 1 | 0 | _aCivil Engineering and Symmetry |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2019 |
||
| 300 | _a1 electronic resource (198 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _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.<false,> | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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| 546 | _aEnglish | ||
| 653 | _arailway wagon | ||
| 653 | _arough sets | ||
| 653 | _aAdditive Ratio Assessment (ARAS) | ||
| 653 | _aneural network | ||
| 653 | _acost estimation | ||
| 653 | _aboarding/deboarding strategies | ||
| 653 | _aoptimisation | ||
| 653 | _amulti-criteria decision-making (MCDM) | ||
| 653 | _aStep-Wise Weight Assessment Ratio Analysis (SWARA) | ||
| 653 | _aruled surface | ||
| 653 | _aseat preference | ||
| 653 | _aimage processing | ||
| 653 | _arisk management | ||
| 653 | _afuzzy sets | ||
| 653 | _asupply chain | ||
| 653 | _aGrasshopper | ||
| 653 | _aexperimental test | ||
| 653 | _aparametric design | ||
| 653 | _arough Best–Worst Method (BWM) | ||
| 653 | _aEDAS | ||
| 653 | _aartificial neural networks | ||
| 653 | _a3D modelling | ||
| 653 | _acivil engineering | ||
| 653 | _ashovel machine | ||
| 653 | _ainterval-valued fuzzy Additive Ratio Assessment | ||
| 653 | _aairplane turn time | ||
| 653 | _aoil and gas well drilling projects | ||
| 653 | _aMCDM | ||
| 653 | _aroof shell | ||
| 653 | _aconsistent fuzzy preference relation (CFPR) | ||
| 653 | _aDEMATEL | ||
| 653 | _atool-flank-wear monitoring | ||
| 653 | _aanalytical network process (ANP) | ||
| 653 | _alogistics | ||
| 653 | _amulti criteria decision making | ||
| 653 | _ainternal transport | ||
| 653 | _aconceptual design | ||
| 653 | _ahybrid MCDM | ||
| 653 | _astructural analysis | ||
| 653 | _aD number | ||
| 653 | _aconstruction | ||
| 653 | _aarchitecture | ||
| 653 | _amultiple-criteria decision-making (MCDM) | ||
| 653 | _aperformance evaluation | ||
| 653 | _arough number | ||
| 653 | _aconstruction project risk | ||
| 653 | _amulti-attributive border approximation area comparison (MABAC) | ||
| 653 | _afinite element method (FEM) | ||
| 653 | _amanufacturing engineering | ||
| 653 | _atransportation | ||
| 653 | _aexperimental testing | ||
| 653 | _ahybrid model | ||
| 653 | _aflexible manufacturing | ||
| 653 | _arough Simple Additive Weighting (SAW) | ||
| 653 | _aD numbers | ||
| 653 | _amultivariate regression | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/1349 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/43314 _70 _zDOAB: description of the publication |
| 999 |
_c79699 _d79699 |
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