Membership functions for fuzzy poverty measurement : an approach using German panel data
Author(s)
Bibliographic Information
Membership functions for fuzzy poverty measurement : an approach using German panel data
（Europäische Hochschulschriften = Publications universitaires européennes = European university studies, Reihe V,
Peter Lang, c1996
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Note
Originally presented as the author's thesis (doctoral)--Universität Kiel, 1996
Includes bibliographical references (p. [155]-178)
Description and Table of Contents
Description
In the traditional literature of poverty measurement, a kind of demarcation line separates the poor from the rich persons. An individual is poor if his or her income does not exceed a well defined income threshold. If the amount of income is one cent higher than this threshold, the respective person belongs to the subset of rich people within the society. The author's intention is to offer some tools in order to overcome this traditionally sharp distinction between poor and rich. Furthermore other indicators of poverty exist which also contribute to a gradual transition from poor to rich. This smooth transition can be achieved by means of the theory of fuzzy sets which does not possess sharp boundaries.
Table of Contents
Contents: On the Theory of Fuzzy Sets - On the Degree of Fuzziness - Poverty Membership Function Derived from German Panel Data - Fuzzy Poverty Measurement.
by "Nielsen BookData"