| 書(shū)目名稱(chēng) | Partial Order Concepts in Applied Sciences | | 編輯 | Marco Fattore,Rainer Bruggemann | | 視頻video | http://file.papertrans.cn/742/741554/741554.mp4 | | 概述 | Features an innovative and state-of-the-art book on applied Partial Order Theory.Includes applications and examples from several research fields, from multi-criteria decision-making, to socio-economic | | 圖書(shū)封面 |  | | 描述 | TThis book illustrates recent advances in applications of partial order theory and Hasse diagram techniques to data analysis, mainly in the socio-economic and environmental sciences. For years, partial order theory has been considered a fundamental branch of mathematics of only theoretical interest. In recent years, its effectiveness as a tool for data analysis is increasingly being realized and many applications of partially ordered sets to real problems in statistics and applied sciences have appeared. Main examples pertain to the analysis of complex and multidimensional systems of ordinal data and to problems of multi-criteria decision making, so relevant in social and environmental sciences.?.Partial Order Concepts in Applied Sciences presents new theoretical and methodological developments in partial order for data analysis, together with a wide range of applications to different topics: multidimensional poverty, economic development, inequality measurement, ecology and pollution, and biology, to mention a few. The book is of interest for applied mathematicians, statisticians, social scientists, environmental scientists and all those aiming at keeping pace with innovation in t | | 出版日期 | Book 2017 | | 關(guān)鍵詞 | Hasse diagrams; data analysis; multi-criteria desicion making; multi-indicator systems; partial order | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-45421-4 | | isbn_softcover | 978-3-319-83289-0 | | isbn_ebook | 978-3-319-45421-4 | | copyright | Springer International Publishing AG 2017 |
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