| 书目名称 | Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems | | 副标题 | Inversion, Displacem | | 编辑 | Irik Z. Mukhametzyanov | | 视频video | | | 概述 | Provides a systematic review of multidimensional normalization methods.Includes multi-step normalization to manage data inversion method.Introduces domain displacement of normalized values and data as | | 丛书名称 | International Series in Operations Research & Management Science | | 图书封面 |  | | 描述 | .This book presents a systematic review of multidimensional normalization methods and addresses problems frequently encountered when using various methods and ways to eliminate them. ..The invariant properties of the linear normalization methods presented here can be used to eliminate simple problems and avoid obvious errors when choosing a normalization method. The book introduces valuable, novel techniques for the multistep normalization of multidimensional data. One of these methods involves inverting the normalized values of cost attributes into profit attributes based on the reverse sorting algorithm (ReS algorithm). Another approach presented is the IZ method, which addresses the issue of shift in normalized attribute values. Additionally, a new method for normalizing the decision matrix is proposed, called the MS method, which ensures the equalization of average values and variances of attributes...Featuring numerous illustrative examples throughout, the book helps readers to understand what difficulties can arise in multidimensional normalization, what to expect from such problems, and how to solve them. It is intended for academics and professionals in various areas of dat | | 出版日期 | Book 2023 | | 关键词 | Multidimensional Data Analysis; Algorithms; Multidimensional Normalization Methods; ReS-algorithm; IZ-me | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-33837-3 | | isbn_softcover | 978-3-031-33839-7 | | isbn_ebook | 978-3-031-33837-3Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
The information of publication is updating
|
|
发表于 2025-3-21 18:04:21
