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Measuring and understanding complex ...

Bruggemann, Rainer.

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Measuring and understanding complex phenomena = indicators and their analysis in different scientific fields /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Measuring and understanding complex phenomena/ edited by Rainer Bruggemann ... [et al.].
其他題名:	indicators and their analysis in different scientific fields /
其他作者:	Bruggemann, Rainer.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxiv, 316 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Partially ordered sets. -
電子資源:	https://doi.org/10.1007/978-3-030-59683-5
ISBN:	9783030596835

Measuring and understanding complex phenomena = indicators and their analysis in different scientific fields /
Measuring and understanding complex phenomenaindicators and their analysis in different scientific fields /[electronic resource] :edited by Rainer Bruggemann ... [et al.]. - Cham :Springer International Publishing :2021. - xxiv, 316 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783030596835

Standard No.: 10.1007/978-3-030-59683-5doiSubjects--Topical Terms:

724557
Partially ordered sets.

LC Class. No.: QA171.485

Dewey Class. No.: 511.332

Measuring and understanding complex phenomena = indicators and their analysis in different scientific fields /
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