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Quality of Life Index of Three Selected States in the Peninsular Malaysia: Fuzzy Sets Approach
Malaysian Quality of Life Index (MQLI) released by Economic Planning Unit (EPU) has led authors to search for another method of expressing index. Due to the generality of MQLI, this paper offers an alternative method of expressing quality of life index using a mathematical model based on fuzzy sets theory in three selected states in Peninsular Malaysia. The indices of ten indicators yielded through a normalization process prior weighting and aggregation to compose a new State Quality of Life Index (SQLI) for each selected state. It was found that a fuzzy sets approach yielded different membership of indices for each component with their respective weights and subsequently yielded a different SQLI for each state. The SQLI evidently mirrored the differences in quality of life for a smaller territory rather than the nation of Malaysia as a whole. It seems particularly appropriate for modelling the quality of life which could compose a number of indicators into a single membership. The results show that the use of available data helps in giving a more complete picture of quality of life particularly at the state level.
Fuzzy sets, Quality of Life, Index, Membership Function
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