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Double Hierarchy Linguistic Term Set and Its Extensions: Theory and Applications 2021 ed. [Hardback]

  • Formāts: Hardback, 195 pages, height x width: 235x155 mm, weight: 483 g, 30 Illustrations, color; 4 Illustrations, black and white; XI, 195 p. 34 illus., 30 illus. in color., 1 Hardback
  • Sērija : Studies in Fuzziness and Soft Computing 396
  • Izdošanas datums: 24-Jun-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303051319X
  • ISBN-13: 9783030513191
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  • Hardback
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  • Formāts: Hardback, 195 pages, height x width: 235x155 mm, weight: 483 g, 30 Illustrations, color; 4 Illustrations, black and white; XI, 195 p. 34 illus., 30 illus. in color., 1 Hardback
  • Sērija : Studies in Fuzziness and Soft Computing 396
  • Izdošanas datums: 24-Jun-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303051319X
  • ISBN-13: 9783030513191
Citas grāmatas par šo tēmu:

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. 

Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.


Chapter
1. Double hierarchy linguistic term set and its
extensions.- Chapter
2. Measure methods for DHHFLTSs.- Chapter
3. Consistency
theory framework of DHHFLPRs.- Chapter
4. Group consensus decision-making
methods with DHHFLPRs, LPOs and self-confident DHLPRs.- Chapter
5.
Large-scale group consensus decision-making methods with DHHFLPRs.