HA143 : Quality of life evaluation and classification societies using the bipolar fuzzy approach (Case Study evaluating quality of life in the provinces of Iran)
Thesis > Central Library of Shahrood University > Industrial Engineering & Management > MSc > 2016
Authors:
Golale Vakili [Author], Reza Sheikh[Supervisor]
Abstarct: Evaluating the citizen's quality of life is one of the tools for evaluating manager's and director's performance in the areas under their management to provide prosperity and justice. Quality of life is a multi-faceted concept, partially influenced by the time, place, personal and social values that includes both objective and subjective dimensions. Quality of life covers measures such as economic index, health index, security index, retention index, the cultural and climatic conditions indices and infrastructure index with its sub-indices. Iran consists of 31 provinces with their own natural features and high variability of climate and culture. Regions quality assessment helps managers to provide better management and fair distribution of facilities. The main objective of this study was to evaluate and classify the provinces on the basis of quality of life measures with an index of acceptance, rejection, and in a fuzzy bipolar space. Classification using fuzzy bipolar space is a new classification considering the quality and quantitative criteria introduced for the classification of the provinces. In this study, relevant information covered a span of time ranging from 2006 to 2016. The data have been classified into four categories baxsed on various indicators: provinces with high quality of life, provinces with a favourable quality of life, provinces with relatively favourable quality of life and the provinces with unfavourable quality of life.
Keywords:
#Quality of life- Classification-selectability measure- rejectability Measure- Fuzzy bipolar approach- choquet integral Link
Keeping place: Central Library of Shahrood University
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