Multi-Level Decision Making: Models, Methods and Applications

doi:10.1007/978-3-662-46059-7

Paper

Multi-Level Decision Making: Models, Methods and Applications

Published Feb 8, 2015 · Guangquan Zhang, Jie Lu, Ya Gao

UNKNOWN SJR score

81

Citations

2

Influential Citations

Full textSemantic Scholar

Abstract

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, masters level in information systems, business administration, or the application of computer science.

Highly Cited

Study Snapshot

This monograph presents new developments in multi-level decision-making theory, techniques, and methods, and highlights the importance of decision support systems for effective multi-level decision-making.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Multi-Level Decision Making: Models, Methods and Applications

References

Citations