Buch, Englisch, Band 677, 225 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3693 g
Special Matrices and Their Applications in Economics and Management
Buch, Englisch, Band 677, 225 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3693 g
Reihe: Lecture Notes in Economics and Mathematical Systems
ISBN: 978-3-319-08322-3
Verlag: Springer International Publishing
The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory, optimization theory, linear algebra, interval analysis and fuzzy sets. The book will also be useful for the researchers in the respective areas. The first part of the book deals with decision making problems and procedures that have been established to combine opinions about alternatives related to different points of view. Procedures based on pairwise comparisons are thoroughly investigated. In the second part we investigate optimization problems where objective functions and constraints are characterized by extremal operators such as maximum, minimum or various triangular norms (t-norms). Matrices in max-min algebra are useful in applications such as automata theory, design of switching circuits, logic of binary relations, medical diagnosis, Markov chains, social choice, models of organizations, information systems, political systems and clustering. The input data in real problems are usually not exact and can be characterized by interval values.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Operations Research
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie
- Mathematik | Informatik Mathematik Algebra Lineare und multilineare Algebra, Matrizentheorie
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
Weitere Infos & Material
Special Matrices in Decision Making: Preliminaries.- Pairwise Comparison Matrices in Decision Making.- Preference Matrices with Fuzzy Elements in Decision Making.- Special Matrices in Max-Min Algebra: Optimization Problems under Max-Min Separable Constraints.