Zeshui Xu

Uncertain Multi-Attribute Decision Making

Methods and Applications

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-662-52625-5
• Softcover reprint of the original 1st ed. 2015
• Seitenzahl: 388
• Erscheinungstermin: 6. Oktober 2016
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 592g
• ISBN-13: 9783662526255
• ISBN-10: 3662526255
• Artikelnr.: 46000581

Autorenporträt

Prof. Dr. Zeshui Xu, The Chang Jiang Scholar of the Ministry of Education of China. Business School, Sichuan University, Chengdu 610064, P. R. China

Inhaltsangabe

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.