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Uncertain Multi-Attribute Decision Making

Autor Zeshui Xu
en Limba Engleză Hardback – 6 mar 2015
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.
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Specificații

ISBN-13: 9783662456392
ISBN-10: 3662456397
Pagini: 388
Ilustrații: XIV, 373 p.
Dimensiuni: 160 x 241 x 27 mm
Greutate: 0.69 kg
Ediția:2015
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

​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.

Notă biografică

Huchang Liao is an associate research fellow at Sichuan University, in Chengdu, China. He was an academic visitor at the School of Computer Science, University of Manchester, UK. He was an Endeavour Research Fellow at the University of Technology Sydney in 2015. He has published one book and more than 40 peer-reviewed papers, many in high-quality international journals including IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge-Based Systems, Applied Soft Computing, Expert Systems with Applications, etc. Ten of his papers have been selected as ESI highly cited papers. His current research interests include group decision-making, computing with words, information fusion, and multiple criteria decision-making under uncertainty. Dr. Liao is the Associate Editor of the International Journal of Fuzzy Systems, and serves as a reviewer for more than 40 international journals. His biographical profile has been selected for inclusion in the Marquis Who's Who in theWorld in 2015 and 2016.
Zeshui Xu is a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholars of the Ministry of Education of China. He is currently a professor with the Business School, Sichuan University, Chendu, China. He has been selected as a 2014 and 2015 Thomson Reuters Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively) and also included in The World's Most Influential Scientific Minds 2014. His h-index is 87, and he has authored the following books: Uncertain Multiple Attribute Decision-making: Methods and Applications (Tsinghua Univ. Press, 2004); Intuitionistic Fuzzy Information Aggregation: Theory and Applications (Science Press and Springer, 2012), Linguistic Decision-making: Theory and Methods (Science Press and Springer, 2012); Intuitionistic Fuzzy Preference Modeling and Interactive Decision-making (Springer, 2013); Intuitionistic Fuzzy Aggregation and Clustering (Springer, 2013); and Hesitant Fuzzy Sets Theory (Springer, 2014). He has contributed more than 450 articles to professional journals. His current research interests include information fusion, group decision-making, computing with words, and aggregation operators. Prof. Xu is the Associate Editor of Fuzzy Optimization and Decision-making, the Journal of Intelligence Systems, the Section Editor of the Asian Journal of Social and Economic Sciences, and the Chief Editor of the Scholars Journal of Economics, Business and Management.

Textul de pe ultima copertă

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.

Caracteristici

The first book that focuses on uncertain multi-attribute decision making in actual problems Provides a systematic survey of the methods used in uncertain multi-attribute decision making and their practical applications Offers a valuable reference guide for researchers and practitioners Includes supplementary material: sn.pub/extras