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Titlebook: Individual and Small Group Decisions; K. J. Radford Book 1989 Springer Science+Business Media New York 1989 Entscheidungsfindung.complex

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書(shū)目名稱Individual and Small Group Decisions
編輯K. J. Radford
視頻videohttp://file.papertrans.cn/464/463726/463726.mp4
圖書(shū)封面Titlebook: Individual and Small Group Decisions;  K. J. Radford Book 1989 Springer Science+Business Media New York 1989 Entscheidungsfindung.complex
描述ecision making is one of the most important activities in both our profes- D sional and our private lives today. The literature on the subject has grown considerably over the last fifty years and it now covers many different approaches to the subject. These approaches range from that of creating a mathematical model of the decision situation under consideration, as in operations research and other forms of mathematical decision analysis, to those that are based on human and organizational behavior. Recently, those working in the field have begun to combine approaches to the study of decision situations that arise in organizations, in our personal lives and in the communities in which we live. This book is an attempt to assist those concerned with decision making to work with this combination of approaches. In the past, decision problems have been considered according to the condi- tions under which they arise and to some extent in terms of the approaches available for their resolution. Writers on the subject who are mathematically- oriented have devised a method of classifying decisions based on the type of mathematics that they suggest be used in the resolution of the problems. Th
出版日期Book 1989
關(guān)鍵詞Entscheidungsfindung; complex
版次1
doihttps://doi.org/10.1007/978-1-4757-2068-6
isbn_softcover978-0-387-97156-8
isbn_ebook978-1-4757-2068-6
copyrightSpringer Science+Business Media New York 1989
The information of publication is updating

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Decision-making in Groups,hat share a common purpose or have one or more common objectives. For example, members of a committee which has been set up to organize an exhibition constitute a group, as do nations linked together by a treaty and companies engaged in a joint venture. These group members can be envisaged as in Fig. 6-1.
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K. J. Radfordments. The comparison of multiple performance metrics shows that classifiers built on imputed dataset produce much better outcomes. KNNI. outperformed in general than the k-Nearest Neighbour Imputation using the Random Forest feature weights (KNNI.) algorithm with respect to the balanced accuracy an
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