Buch
Multiple Criteria Decision Making by Multiobjective Optimization
-A Toolbox-Ignacy Kaliszewski; Janusz Miroforidis; Dmitry Podkopaev
58,84
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | International Series in Operations Research & Management Science (Bd. 242) |
Sprache | : | Englisch |
Erschienen | : | 11. 06. 2018 |
Seiten | : | 118 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 226 g |
ISBN | : | 9783319813622 |
Sprache | : | Englisch |
Autorinformation
Ignacy Kaliszewski, Full Professor at the Systems Research Institute of the Polish Academy of Sciences, graduated from the Technical University of Warsaw. He got his Ph.D. and habilitation degrees from the Systems Research Institute of the Polish Academy of Science for his research in quantitative management science and operations research. He has published over 40 scientific papers in journals and books of international circulation and two monographs: Quantitative Pareto Analysis by Cone Separation Technique (Kluwer Academic Publ., Dordrecht, 1994), Soft Computing for Complex Multiple Criteria Decision Making (Springer, 2006). His current field of research is decision making in multicriteria environment.
Janusz Miroforidis is an Assistant Professor at the Systems Research Institute of the
Polish Academy of Sciences. He received his M.S. degree in computer science
from the University of Wrocław, and his Ph.D. from the Systems Research
Institute of the Polish Academy of Science for his research in soft computing
and MCDM methods for management needs. His major research interests include computer
aided multiple criteria decision making, particularly as applied to complex
decision problems and evolutionary multiobjective optimization. He is a
co-founder of Treeffect, a consulting company.
Dmitry Podkopaev  is a Researcher and
Associate Professor for the Systems Research Institute at the Polish Academy of
Sciences. His interests include Multiple Criteria Decision Making and Discrete
Optimization. He has experience in research and software development projects
(as Analyst, Developer, Programmer), as well as high school teaching.
Inhaltsverzeichnis
Introduction.- Solving Decision Problems.- Decision Problem: Selection of a Single Variant.- Derivation of Efficient Variants.- Decision Problem: Selection of a Variant Portfolio - The Discrete Case.- Decision Problem: Selection of a Variant Portfolio - The Continuous Case.- Derivation of Efficient Portfolios.- Supporting the Process of the Most Preferred Variant Choice.- Decision Problems - Continuation.- Decision Problem: Selection of a Stock Portfolio.- Relations.