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Frontiers in Educational Research, 2019, 2(4); doi: 10.25236/FER.034017.

The Application Of Fuzzy Cluster Analysis In The Evaluation And Classification Of Urban Happiness

Author(s)

Jing Peng, Hean Liu

Corresponding Author:
Jing Peng
Affiliation(s)

College of Science, Hunan City University, Yiyang, China

Abstract

Urban happiness is a kind of value embodiment of residents' life satisfaction, and the evaluation and classification of urban happiness is an important basis for the formulation of urban development direction and strategy. But city happiness too much consideration indicators, here we are in the first three lines of ten cities as evaluation unit, and in such aspects as economy, housing, employment, education has chosen 13 indexes to establish the original matrix, using the translation effect of the standardization of original data matrix, then using the hamming distance method to calculate the distance of each city or similar degree, and finally select a threshold lambda, according to the actual situation and needs to adjust lambda value, get the selected area under different level of lambda different classification, finally concluded that happiness will cities for classification and discrimination.

Keywords

Urban Development; Fuzzy Clustering; Urban Happiness

Cite This Paper

Jing Peng, Hean Liu. The Application Of Fuzzy Cluster Analysis In The Evaluation And Classification Of Urban Happiness. Frontiers in Educational Research (2019) Vol. 2 Issue 4: 51-59. https://doi.org/10.25236/FER.034017.

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