
Uncertain Multi-Attribute Decision Making
Methods and Applications
Zeshui Xu(Author)
Springer (Publisher)
Published on 6. March 2015
Book
Hardback
XIV, 373 pages
978-3-662-45639-2 (ISBN)
Description
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.
More details
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIV, 373 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 27 mm
Weight
746 gr
ISBN-13
978-3-662-45639-2 (9783662456392)
DOI
10.1007/978-3-662-45640-8
Schweitzer Classification
Other editions
Additional editions

Book
10/2016
Springer
€106.99
Article exhausted; check different version

E-Book
02/2015
1st Edition
Springer
€96.29
Available for download
Person
Prof. Dr. Zeshui Xu, The Chang Jiang Scholar of the Ministry of Education of China. Business School, Sichuan University, Chengdu 610064, P. R. China
Content
Part 1 Real-Valued MADM Methods and Their Applications.- Real-Valued MADM with Weight Information Unknown.- MADM with Preferences on Attribute Weights.- MADM with Partial Weight Information.- Part 2 Interval MADM Methods and Their Applications.- Interval MADM with Real-Valued Weight Information.- Interval MADM with Unknown Weight Information.- Interval MADM with Partial Weight Information.- Part 3 Linguistic MADM Methods and Their Applications.- Linguistic MADM with Unknown Weight Information.- Linguistic MADM Method with Real-Valued or Unknown Weight Information.- MADM Method Based on Pure Linguistic Information.- Part 4 Uncertain Linguistic MADM Methods and Their Applications.- Uncertain Linguistic MADM with Unknown Weight Information.- Uncertain Linguistic MADM Method with Real-Valued Weight Information.- Uncertain Linguistic MADM Method with Interval Weight Information.