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210512 ||| eng |
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|a 9783039210060
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|a 9783039210077
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|a books978-3-03921-007-7
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|a Antuchevi?ien?, Jurgita
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| 245 |
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|a Solution Models based on Symmetric and Asymmetric Information
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (202 p.)
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| 653 |
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|a resources distribution
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| 653 |
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|a engineering problems
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| 653 |
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|a symmetry of the method
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| 653 |
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|a data logger
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| 653 |
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|a information theory
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| 653 |
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|a interval type-2 fuzzy set (IT2FS)
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| 653 |
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|a IDOCRIW
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| 653 |
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|a public management
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| 653 |
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|a Bayes’ theorem
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| 653 |
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|a sensor
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| 653 |
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|a transport
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| 653 |
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|a hybrid MCDM
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| 653 |
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|a subjective weights
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| 653 |
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|a MCDM
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|a performance
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| 653 |
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|a green supplier selection
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| 653 |
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|a oscillations
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| 653 |
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|a measurement
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| 653 |
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|a fuzzy efficiency
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| 653 |
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|a the criteria of the weights
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| 653 |
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|a FAHP
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| 653 |
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|a criteria weight assessment
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| 653 |
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|a population sizes
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| 653 |
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|a History of engineering & technology / bicssc
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| 653 |
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|a green supply chain management
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| 653 |
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|a group decision-making
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| 653 |
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|a data envelopment analysis
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| 653 |
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|a full fuzzy environment
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| 653 |
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|a multiple-criteria decision-making (MCDM)
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| 653 |
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|a multi-criteria decision-making (MCDM)
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| 653 |
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|a criteria weights
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| 653 |
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|a rough ARAS
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| 653 |
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|a quadcopter
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| 653 |
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|a salvage value
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| 653 |
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|a pattern formation
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| 653 |
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|a Z-numbers
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| 653 |
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|a combining the weights
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| 653 |
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|a excess-of-loss reinsurance
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| 653 |
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|a transaction cost
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| 653 |
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|a optimal dividend
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| 653 |
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|a fuzzy sets
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| 653 |
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|a logistics
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| 653 |
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|a thrust
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| 653 |
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|a 2-tuple linguistic neutrosophic numbers set (2TLNNSs)
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| 653 |
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|a control system
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| 653 |
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|a stability
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| 653 |
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|a Step-wise Weight Assessment Ratio Analysis (SWARA)
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| 653 |
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|a nonlinear dynamics
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| 653 |
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|a Bonferroni mean (BM) operator
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| 653 |
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|a backward cloud transformation
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| 653 |
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|a Pythagorean fuzzy set
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| 653 |
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|a normal cloud
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| 653 |
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|a economic decisions
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| 653 |
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|a generalized Bonferroni mean (GBM) operator
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| 653 |
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|a MCGDM
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| 653 |
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|a evaluating the quality of distant courses
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| 653 |
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|a rough sets
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| 653 |
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|a multiple attribute decision making (MADM)
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| 653 |
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|a dual generalized Bonferroni mean (DGBM) operator
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| 653 |
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|a neutrosophic numbers
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| 653 |
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|a probabilistic systems analysis
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| 653 |
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|a hybrid problem solution models
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| 653 |
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|a dual generalized geometric Bonferroni mean (DGGBM) operator
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| 653 |
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|a capital injection
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| 700 |
1 |
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|a Turskis, Zenonas
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| 700 |
1 |
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|a Zavadskas, Edmundas Kazimieras
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 024 |
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|a 10.3390/books978-3-03921-007-7
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| 856 |
4 |
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|u https://www.mdpi.com/books/book/1328
|x Verlag
|3 Volltext
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| 856 |
4 |
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|u https://directory.doabooks.org/handle/20.500.12854/59698
|z DOAB: description of the publication
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|a 363
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|a 658
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|a This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, 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.
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