Fuzzy TOPSIS logic, approaches, and case studies / Mohamed El Alaoui.
| Author/creator | El Alaoui, Mohamed |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2021. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Variant title | Fuzzy technique for order of preference by similarity to ideal solution |
| Abstract | "This book aims to justify the use of fuzzy logic as a logic and as a 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 a 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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020052970 |
| ISBN | 9780367767488 (hbk) |
| ISBN | (ebk) |