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Social Indicators Research

Erschienen in:

01.12.2009

A New Malaysian Quality of Life Index Based on Fuzzy Sets and Hierarchical Needs

verfasst von: M. Abdullah Lazim, M. Tap Abu Osman

Erschienen in: Social Indicators Research | Ausgabe 3/2009

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Abstract

The Malaysian Quality of Life Index (MQLI) released by the Economic Planning Unit (EPU), has led authors to search for alternative method of expressing this index. One of the limitations in MQLI computations is the failure to recognise unequal weights for each accounted component. This paper offers a new way of expressing the quality of life index using a mathematical modelling based on fuzzy sets theory and the proposed weights based on Maslow’s theory of hierarchical human needs. The indices of 11 components that were used to compute MQLI, again be gathered as a basis in expressing a new Malaysian Fuzzy Quality of Life Index (MFQLI). The new indices for each component yielded through a normalisation process prior weighting and aggregation to compose a new MFQLI. It was found that a fuzzy sets approach with the inclusion of weights based on human needs yielded a better index of quality of life than the MQLI.

Vorheriger Artikel Comparative Case Study as Social Impact Assessment: Possibilities and Limitations for Anticipating Social Change in the Far North

Nächster Artikel Capability Deprivation and Income Poverty in the United States, 1994 and 2004: Measurement Outcomes and Demographic Profiles

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Titel: A New Malaysian Quality of Life Index Based on Fuzzy Sets and Hierarchical Needs
verfasst von: M. Abdullah Lazim
M. Tap Abu Osman
Publikationsdatum: 01.12.2009
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 3/2009
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-009-9445-6

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