Type-2 Fuzzy Decision-Making Theories, Methodologies and Applications

AvJindong Qin,Xinwang Liu

Häftad, Engelska, 2020

Del i serien Uncertainty and Operations Research

541 kr

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Beskrivning

This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end.

Produktinformation

Utgivningsdatum:2020-08-23
Mått:155 x 235 x 16 mm
Vikt:441 g
Format:Häftad
Språk:Engelska
Serie:Uncertainty and Operations Research
Antal sidor:271
Förlag:Springer Verlag, Singapore
ISBN:9789811398933

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Mer om författaren

Jindong Qin has published over 30 papers in uncertainty decision analysis area and these research results have been published in the European Journal of Operational Research, the IEEE Transactions on Fuzzy Systems. He currently serves as an Associate Editor for the International Journal of Fuzzy Systems, the International Journal of Computational Intelligence Systems, and Granular Computing.Xinwang Liu is currently a Professor with the Department of Management Science and Engineering, School of Economics and Management, Southeast University. He has authored or coauthored more than 100 publications of journals and international conferences. His research interests include type-2 fuzzy logic, aggregation operators, recommend systems and fuzzy decision making.

Recensioner i media

“The book is well-written. … This book is a very valuable contribution to the field of multiple criteria decision making. I can recommend it to the practitioners dealing in their professional life with MCDM (e.g. managers and engineers) but also to the researchers in the area and students of mathematics, IT, engineering or management.” (Marcin Anholcer, zbMATH 1447.91002, 2020)

Innehållsförteckning

Chapter 1 Type-2 Fuzzy Sets and Its Extensions.- Chapter 2 Multiple criteria decision making with type-2 fuzzy information.- Chapter 3 Interval type-2 fuzzy aggregation operations based on Maclaurin means and its extensions.- Chapter 4 Interval type-2 fuzzy combined ranking method.- Chapter 5 Interval type-2 fuzzy decision making based on TOPSIS.- Chapter 6 Interval type-2 fuzzy decision making based on ANP.- Chapter 7 Interval type-2 fuzzy decision making based on TODIM.- Chapter 8 Interval type-2 fuzzy decision making based on LINMAP.- Chapter 9 An integrated interval type-2 fuzzy decision making based on VIKOR and Prospect theory.- Chapter 10 Interval type-2 fuzzy decision making based on Granular Computing and its application in personalized recommendation.- Chapter 11 Interval Type-2 Fuzzy Group Decision Making by Integrating Improved Best Worst Method with COPRAS for Emergency Material Supplier Selection.