Multi-Criteria Decision Making for the Management of Complex Systems
Business & Finance, Management & Leadership, Operations Research, Decision Making & Problem Solving
| Author: | Albert Voronin | ISBN: | 9781522525110 |
| Publisher: | IGI Global | Publication: | March 20, 2017 |
| Imprint: | Business Science Reference | Language: | English |
| Author: | Albert Voronin |
| ISBN: | 9781522525110 |
| Publisher: | IGI Global |
| Publication: | March 20, 2017 |
| Imprint: | Business Science Reference |
| Language: | English |
While there are many different models for performing system analysis, the multi-criteria decision making method has proven to be one of the most efficient. By analyzing the key concepts of this theory, the technique can be enhanced and will benefit future organizations and companies in novel ways. Multi-Criteria Decision Making for the Management of Complex Systems provides a comprehensive examination of the latest strategies and methods involved in decision theory. Featuring extensive coverage on relevant topics such as nested scalar convolutions, Pareto optimality, nonlinear schemes, and operator performance, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on the supervision of advanced decision making theories in system analysis.
While there are many different models for performing system analysis, the multi-criteria decision making method has proven to be one of the most efficient. By analyzing the key concepts of this theory, the technique can be enhanced and will benefit future organizations and companies in novel ways. Multi-Criteria Decision Making for the Management of Complex Systems provides a comprehensive examination of the latest strategies and methods involved in decision theory. Featuring extensive coverage on relevant topics such as nested scalar convolutions, Pareto optimality, nonlinear schemes, and operator performance, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on the supervision of advanced decision making theories in system analysis.
