Buch, Englisch, 216 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 313 g
Logic, Approaches, and Case Studies
Buch, Englisch, 216 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 313 g
ISBN: 978-0-367-76749-5
Verlag: CRC Press
This book aims to justify the use of fuzzy logic as a logic and as an uncertainty theory in the decision-making context. It also discusses the development of the TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) with related examples and MATLAB codes. This is the first book devoted to TOPSIS and its fuzzy versions.
It presents the use of fuzzy logic as a logic and as an uncertainty theory in the decision-making content and discusses the development of the TOPSIS method in classical and fuzzy context. The book justifies the use of fuzzy logic as an uncertainty theory and provides illustrative examples for each fuzzy TOPSIS extension, along with related MATLAB codes and case studies.
This book is for industrial engineers, operations research engineers, systems engineers, and production engineers working in the areas of decision analysis, multi-criteria decision making, and multiple objective optimization.
Zielgruppe
Academic and Postgraduate
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
- Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
- Mathematik | Informatik Mathematik Operations Research
- Geisteswissenschaften Design Produktdesign, Industriedesign
Weitere Infos & Material
1. Uncertainty. 2. Non-Classical Logics. 3. Fuzzy Logic. 4. Frequently Used Methods. 5. TOPSIS Methodology and Limits. 6. Fuzzy TOPSIS. 7. Intuitionistic Fuzzy TOPSIS. 8. Other Fuzzy TOPSIS Approaches.