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Titlebook: Ranking and Prioritization for Multi-indicator Systems; Introduction to Part Rainer Brüggemann,Ganapati P. Patil Book 2011 Springer Science

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發(fā)表于 2025-3-21 17:04:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ranking and Prioritization for Multi-indicator Systems
副標(biāo)題Introduction to Part
編輯Rainer Brüggemann,Ganapati P. Patil
視頻videohttp://file.papertrans.cn/822/821143/821143.mp4
概述Discusses main topics of ranking applying partial order theory.Is about how far simple order methods can be useful for the ordinal analysis of data matrices.The reader will learn how to apply unclear
叢書名稱Environmental and Ecological Statistics
圖書封面Titlebook: Ranking and Prioritization for Multi-indicator Systems; Introduction to Part Rainer Brüggemann,Ganapati P. Patil Book 2011 Springer Science
描述This book provides axioms of partial order and some basic material, for example consequences of “criss-crossing” of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what ‘a(chǎn)ntagonistic indicator’ means.
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-1-4419-8477-7
isbn_softcover978-1-4614-2968-5
isbn_ebook978-1-4419-8477-7Series ISSN 2363-9660 Series E-ISSN 2363-9679
issn_series 2363-9660
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:37:01 | 只看該作者
Comparison of Partial, Linear, and Weak Orders,rs, IB, and the same set of objects, ., .., and .. should ideally be coincident. As can be suspected, this is not necessarily the case and we need measures to quantify the degree of coincidence between .. and ...
板凳
發(fā)表于 2025-3-22 01:48:20 | 只看該作者
Partial Order and Software,org and Shye (1995); see also ..POSET, Patil et al. (2009, personal communication (POSET-ranking)).PyHasse, Bruggemann et al. (2008a, b), Bruggemann and Voigt (2009), and Voigt et al. (2008a, b).VB-RAPID, Joshi et al. (2010)
地板
發(fā)表于 2025-3-22 07:17:37 | 只看該作者
2363-9660 es of “criss-crossing” of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what ‘a(chǎn)ntagonistic indicator’ means.978-1-4614-2968-5978-1-4419-8477-7Series ISSN 2363-9660 Series E-ISSN 2363-9679
5#
發(fā)表于 2025-3-22 09:46:18 | 只看該作者
Why Prioritization, Why Ranking,ve investigations necessary to perform a risk assessment. Hence the question is: With which chemicals to begin at first? Thus ranking is needed to give the more involved investigations a reasonable operating sequence (Newman, 1995).
6#
發(fā)表于 2025-3-22 15:18:31 | 只看該作者
Partial Order and Related Disciplines,aracteristics of networks. In our applications here, there is always a matrix, which quantifies the multi-indicator system, the data matrix. With or without the interim step of deriving the rank matrix, we arrive at a partial order. Once, however, the poset is derived, it may be analyzed as a mathematical object on its own right.
7#
發(fā)表于 2025-3-22 17:34:52 | 只看該作者
8#
發(fā)表于 2025-3-22 21:52:29 | 只看該作者
Sensitivity and Ambiguity,x? We attempt to answer these two questions in this chapter. In Section 4.2, we consider impacts to the partial order when reducing the information base (attribute-related sensitivity) and in Section 4.3, we introduce a measure for the ambiguity of partial order in response to the set of attributes.
9#
發(fā)表于 2025-3-23 03:45:47 | 只看該作者
Case Study: Watershed Analysis (Hydrology),wo different means to rank the watersheds with respect to the environmental health. The indicators on the three levels are considered as proxies to describe the abstract and not measurable concept of “environmental health.”
10#
發(fā)表于 2025-3-23 07:39:18 | 只看該作者
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