Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effect...
Main Authors: | Cheng, Chi-Bin (Author, http://id.loc.gov/vocabulary/relators/aut), Shih, Hsu-Shih (http://id.loc.gov/vocabulary/relators/aut), Lee, E. Stanley (http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Edition: | 2nd ed. 2019. |
Series: | Studies in Fuzziness and Soft Computing,
368 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Designing, Selecting, Implementing and Using APS Systems
by: Wiers, Vincent C. S., et al.
Published: (2018) -
Inventory Control Models with Motivational Policies
by: Taleizadeh, Ata Allah, et al.
Published: (2018) -
Traffic Flow Modelling Introduction to Traffic Flow Theory Through a Genealogy of Models /
by: Kessels, Femke, et al.
Published: (2019) -
Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets
Published: (2019) -
Operations Research Proceedings 2016 Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016 /
Published: (2018)