Decision Making and Optimization: Special Matrices and Their Applications in Economics and Management

✍ Scribed by Martin Gavalec, Jaroslav Ramík, Karel Zimmermann (auth.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 231
• Series: Lecture Notes in Economics and Mathematical Systems 677
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xi
Front Matter....Pages 1-1
Preliminaries....Pages 3-28
Pairwise Comparison Matrices in Decision Making....Pages 29-90
Preference Matrices with Fuzzy Elements in Decision Making....Pages 91-115
Front Matter....Pages 117-117
Optimization Problems Under Max-Min Separable Equation and Inequality Constraints....Pages 119-161
Interval Eigenproblem in Max-Min Algebra....Pages 163-181
Eigenproblem in Max-Drast and Max-Łukasiewicz Algebra....Pages 183-221
Back Matter....Pages 223-225

✦ Subjects

Operation Research/Decision Theory; Game Theory/Mathematical Methods; Optimization; Computational Intelligence; Operations Research, Management Science; Engineering Economics, Organization, Logistics, Marketing