Symmetric and Asymmetric Data in Solution Models
This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or a...
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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| 001 | doab_20_500_12854_76663 | ||
| 005 | 20220111 | ||
| 020 | |a books978-3-0365-1611-0 | ||
| 020 | |a 9783036516127 | ||
| 020 | |a 9783036516110 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-1611-0 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a KNTX |2 bicssc | |
| 100 | 1 | |a Kazimieras Zavadskas, Edmundas |4 edt | |
| 700 | 1 | |a Turskis, Zenonas |4 edt | |
| 700 | 1 | |a Antuchevičienė, Jurgita |4 edt | |
| 700 | 1 | |a Kazimieras Zavadskas, Edmundas |4 oth | |
| 700 | 1 | |a Turskis, Zenonas |4 oth | |
| 700 | 1 | |a Antuchevičienė, Jurgita |4 oth | |
| 245 | 1 | 0 | |a Symmetric and Asymmetric Data in Solution Models |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (359 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multicriteria decision-making (MCDM) problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the book. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Information technology industries |2 bicssc | |
| 653 | |a COVID-19 | ||
| 653 | |a criteria importance through inter-criteria correlation (CRITIC) | ||
| 653 | |a combined compromise solution (CoCoSo) | ||
| 653 | |a gray values | ||
| 653 | |a temporary hospital | ||
| 653 | |a location selection | ||
| 653 | |a ARAS | ||
| 653 | |a interval-valued triangular fuzzy numbers | ||
| 653 | |a e-learning courses | ||
| 653 | |a MCDM | ||
| 653 | |a neutrosophic sets | ||
| 653 | |a quadripartitioned bipolar neutrosophic sets | ||
| 653 | |a similarity measure | ||
| 653 | |a decision making | ||
| 653 | |a multiple-criteria decision-making | ||
| 653 | |a neutrosophic | ||
| 653 | |a single-valued neutrosophic sets | ||
| 653 | |a TOPSIS | ||
| 653 | |a Hamming distance | ||
| 653 | |a Euclidean distance | ||
| 653 | |a e-commerce development strategies | ||
| 653 | |a Symmetry | ||
| 653 | |a bibliometric analysis | ||
| 653 | |a Web of Science | ||
| 653 | |a co-citation | ||
| 653 | |a burst detection analysis | ||
| 653 | |a supply chain | ||
| 653 | |a DANP-mV model | ||
| 653 | |a performance analysis | ||
| 653 | |a asymmetric underactuated | ||
| 653 | |a rehabilitation | ||
| 653 | |a robotic exoskeleton | ||
| 653 | |a symmetric and asymmetric trajectory | ||
| 653 | |a Bowden cable | ||
| 653 | |a video processing data | ||
| 653 | |a EOQ | ||
| 653 | |a Wilson's formulation | ||
| 653 | |a lot size | ||
| 653 | |a reordering time | ||
| 653 | |a visual analogue scales (VAS) | ||
| 653 | |a criteria weighting | ||
| 653 | |a matrix question | ||
| 653 | |a survey | ||
| 653 | |a WASPAS-SVNS | ||
| 653 | |a entropy | ||
| 653 | |a direct rating | ||
| 653 | |a rehabilitation device | ||
| 653 | |a electromyogram | ||
| 653 | |a symmetry | ||
| 653 | |a window parameters | ||
| 653 | |a feature extraction | ||
| 653 | |a pattern recognition | ||
| 653 | |a sensitivity analysis | ||
| 653 | |a reliability | ||
| 653 | |a failure probability | ||
| 653 | |a quantile | ||
| 653 | |a civil engineering | ||
| 653 | |a limit states | ||
| 653 | |a mathematical model | ||
| 653 | |a uncertainty | ||
| 653 | |a cost overrun | ||
| 653 | |a construction project | ||
| 653 | |a fuzzy sets | ||
| 653 | |a earned value management (EVM) | ||
| 653 | |a artificial neural networks (ANNs) | ||
| 653 | |a multiple regression analysis | ||
| 653 | |a road industry | ||
| 653 | |a buckling | ||
| 653 | |a safety | ||
| 653 | |a superquantile | ||
| 653 | |a subquantile | ||
| 653 | |a aerial imagery | ||
| 653 | |a lossy compression | ||
| 653 | |a qualitative evaluation | ||
| 653 | |a WASPAS | ||
| 653 | |a neutrosophic set | ||
| 653 | |a Analytic Hierarchy Process | ||
| 653 | |a fuzzy Analytic Hierarchy Process | ||
| 653 | |a symmetric and asymmetric fuzzy numbers | ||
| 653 | |a stability | ||
| 653 | |a landscape | ||
| 653 | |a micro factor | ||
| 653 | |a macro factor | ||
| 653 | |a real estate market | ||
| 653 | |a Big Data analysis | ||
| 653 | |a Big Data | ||
| 653 | |a land price | ||
| 653 | |a R and Python | ||
| 653 | |a land Big Data | ||
| 653 | |a symmetric data | ||
| 653 | |a asymmetric data | ||
| 653 | |a solution models | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4110 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76663 |7 0 |z DOAB: description of the publication |