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Titlebook: Decision Aids for Selection Problems; David L. Olson Book 1996 Springer-Verlag New York, Inc. 1996 Manufacturing.automation.business.calcu

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書目名稱Decision Aids for Selection Problems
編輯David L. Olson
視頻videohttp://file.papertrans.cn/265/264180/264180.mp4
叢書名稱Springer Series in Operations Research and Financial Engineering
圖書封面Titlebook: Decision Aids for Selection Problems;  David L. Olson Book 1996 Springer-Verlag New York, Inc. 1996 Manufacturing.automation.business.calcu
描述One of the most important tasks faced by decision-makers in business and government is that of selection. Selection problems are challenging in that they require the balancing of multiple, often conflicting, criteria. In recent years, a number of interesting decision aids have become available to assist in such decisions. .The aim of this book is to provide a comparative survey of many of the decision aids currently available. The first chapters present general ideas which underpin the methodologies used to design these aids. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas. A final chapter provides a comparative analysis of their strengths and weaknesses.
出版日期Book 1996
關(guān)鍵詞Manufacturing; automation; business; calculus; decision making; utility theory
版次1
doihttps://doi.org/10.1007/978-1-4612-3982-6
isbn_softcover978-1-4612-8459-8
isbn_ebook978-1-4612-3982-6Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightSpringer-Verlag New York, Inc. 1996
The information of publication is updating

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Aspiration-Level Interactive Model, a matrix, with the rows representing alternatives and the columns criteria. The idea is to adjust aspiration levels of the objectives and obtain feedback regarding the feasibility of the aspiration levels, separately and jointly. As the aspiration levels are adjusted, the nearest non-dominated solution based on the levels changes.
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https://doi.org/10.1007/978-3-319-67186-4 a matrix, with the rows representing alternatives and the columns criteria. The idea is to adjust aspiration levels of the objectives and obtain feedback regarding the feasibility of the aspiration levels, separately and jointly. As the aspiration levels are adjusted, the nearest non-dominated solution based on the levels changes.
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Miroslav Hudec,Zuzana Broke?ováor surveys). AHP has also been used to develop linear utility functions reflecting the relative importance of decision objectives or problem features that have been used for mathematical programming, as well as for ranking things (such as seeding tennis tournaments or selecting the best cities to live in).
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