Symmetric and Asymmetric Data in Solution Models

• Autore: Kazimieras Zavadskas Edmundas
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (359 p.)
• Soggetto topico: Information technology industries
• Soggetto non controllato: aerial imagery; Analytic Hierarchy Process; ARAS; artificial neural networks (ANNs); asymmetric data; asymmetric underactuated; bibliometric analysis; Big Data; Big Data analysis; Bowden cable; buckling; burst detection analysis; civil engineering; co-citation; combined compromise solution (CoCoSo); construction project; cost overrun; COVID-19; criteria importance through inter-criteria correlation (CRITIC); criteria weighting; DANP-mV model; decision making; direct rating; e-commerce development strategies; e-learning courses; earned value management (EVM); electromyogram; entropy; EOQ; Euclidean distance; failure probability; feature extraction; fuzzy Analytic Hierarchy Process; fuzzy sets; gray values; Hamming distance; interval-valued triangular fuzzy numbers; land Big Data; land price; landscape; limit states; location selection; lossy compression; lot size; macro factor; mathematical model; matrix question; MCDM; micro factor; multiple regression analysis; multiple-criteria decision-making; neutrosophic; neutrosophic set; neutrosophic sets; pattern recognition; performance analysis; quadripartitioned bipolar neutrosophic sets; qualitative evaluation; quantile; R and Python; real estate market; rehabilitation; rehabilitation device; reliability; reordering time; road industry; robotic exoskeleton; safety; sensitivity analysis; similarity measure; single-valued neutrosophic sets; solution models; stability; subquantile; superquantile; supply chain; survey; symmetric and asymmetric fuzzy numbers; symmetric and asymmetric trajectory; symmetric data; symmetry; Symmetry; temporary hospital; TOPSIS; uncertainty; video processing data; visual analogue scales (VAS); WASPAS; WASPAS-SVNS; Web of Science; Wilson's formulation; window parameters
• Persona (resp. second.): TurskisZenonas; AntuchevičienėJurgita; Kazimieras ZavadskasEdmundas
• Sommario/riassunto: 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.
• Titolo autorizzato: Symmetric and Asymmetric Data in Solution Models
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557693203321
• Lo trovi qui: Univ. Federico II