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Books > Business & Economics > Economics > Economic theory & philosophy
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Uncertain Multi-Attribute Decision Making - Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2015)
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Uncertain Multi-Attribute Decision Making - Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2015)
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This book introduces methods for uncertain multi-attribute decision
making including uncertain multi-attribute group decision making
and their applications to supply chain management, investment
decision making, personnel assessment, redesigning products,
maintenance services, military system efficiency evaluation.
Multi-attribute decision making, also known as multi-objective
decision making with finite alternatives, is an important component
of modern decision science. The theory and methods of
multi-attribute decision making have been extensively applied in
engineering, economics, management and military contexts, such as
venture capital project evaluation, facility location, bidding,
development ranking of industrial sectors and so on. Over the last
few decades, great attention has been paid to research on
multi-attribute decision making in uncertain settings, due to the
increasing complexity and uncertainty of supposedly objective
aspects and the fuzziness of human thought. This book can be used
as a reference guide for researchers and practitioners working in
e.g. the fields of operations research, information science,
management science and engineering. It can also be used as a
textbook for postgraduate and senior undergraduate students.
General
| Imprint: |
Springer-Verlag
|
| Country of origin: |
Germany |
| Release date: |
October 2016 |
| First published: |
2015 |
| Authors: |
Zeshui Xu
|
| Dimensions: |
235 x 155 x 20mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
373 |
| Edition: |
Softcover reprint of the original 1st ed. 2015 |
| ISBN-13: |
978-3-662-52625-5 |
| Categories: |
Books >
Business & Economics >
Economics >
Economic theory & philosophy
Promotions
|
| LSN: |
3-662-52625-5 |
| Barcode: |
9783662526255 |
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