Measuring and Understanding Complex Phenomena : Indicators and their Analysis in Different Scientific Fields / edited by Rainer Bruggemann, Lars Carlsen, Tugce Beycan, Christian Suter, Filomena Maggino

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer International Publishing, 2021Publisher: Cham : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(XXIV, 316 p. 88 illus., 62 illus. in color.)ISBN:

9783030596835

Subject(s):

333.7 23

DOI: DOI: 10.1007/978-3-030-59683-5Online resources:

Summary: 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.Summary: 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 above expectations. One possibility is the application of the mathematical theory of partial order, especially when the indicator system shall be used for ranking purposes.PPN: PPN: 175305608XPackage identifier: Produktsigel: ZDB-2-EES | ZDB-2-SEB | ZDB-2-SXEE

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