Measuring and Understanding Complex Phenomena Indicators and their Analysis in Different Scientific Fields /
Indicators are more and more applied to describe and analyze complex systems. Typical examples: Innovation potential of nations, child-well being, Environmental health, poverty, chemical pollution, corruption of nations. The task is: How can a system of indicators be defined in order to fulfill the...
Corporate Author: | |
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Other Authors: | , , , , |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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Edition: | 1st ed. 2021. |
Subjects: | |
Online Access: | https://doi.org/10.1007/978-3-030-59683-5 |
Table of Contents:
- Chapter 1. Some basic considerations on the design and the interpretation of indicators in the context of modelling and simulation
- Chapter 2. Indicators in the framework of partial order
- Chapter 3. ASSESSING INHOMOGENEOUS INDICATOR-RELATED TYPOLOGIES
- Chapter 4. Uncertainty in weights for composite indicators generated by weighted sums
- Chapter 5. A study to generate a weak order from a partially ordered set, taken biomonitoring measurements
- Chapter 6. Problem orientable evaluations as L-subsets
- Chapter 7. Evaluations as Sets over Lattices - Application point of view
- Chapter 8. Indicators for Sustainability Assessment in the Procurement of Civil Engineering Services
- Chapter 9. DEPENDENT INDICATORS FOR ENVIRONMENTAL EVALUATIONS OF DESALINATION PLANTS
- Chapter 10. Introduction into Sampling Theory, Applying
- Chapter 11. Looking for alternatives? Split shots as an exemplary case
- Chapter 12. Comparison of selected procedures for generating activated carbon with special focus on Miscanthus straw as a sustainable raw material
- Chapter 13. Uranium trappers, a partial order study
- Chapter 14. There is no such thing as a free lunch! Who is paying for our happiness?
- Chapter 15. Posetic tools in the social sciences: a tutorial exposition
- Chapter 16. Assessing Subjective Well-being in Wide Populations. A Posetic Approach to Micro-data Analysis
- Chapter 17. Deep Ranking Analysis by Power Eigenvectors (DRAPE): a study on the human, environmental and economic wellbeing of 154 countries
- Chapter 18. PyHasse, a software package for applicational studies of partial orderings.