| 书目名称 | Multi-Criteria and Multi-Dimensional Analysis in Decisions | | 副标题 | Decision Making with | | 编辑 | Kesra Nermend | | 视频video | | | 概述 | Features real-life examples from economics and management.Presents similarities between MCA and MCDA methods in decision making.Presents character criteria methods for decision making | | 丛书名称 | Vector Optimization | | 图书封面 |  | | 描述 | .A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author’s own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.. | | 出版日期 | Book 2023 | | 关键词 | multi-criteria decision-making analysis (MCDA); vector measure construction method (VMCM); preference | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-40538-9 | | isbn_softcover | 978-3-031-40540-2 | | isbn_ebook | 978-3-031-40538-9Series ISSN 1867-8971 Series E-ISSN 1867-898X | | issn_series | 1867-8971 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:28:21
