A Model to Estimate Population by Sex, Age and District Based on Fuzzy Theory

  • Pak. Pyong-Sik (Osaka Univ.) ;
  • Kim, Gwan (Osaka Univ.)
  • Published : 2002.10.01

Abstract

A model to predict population by sex, age and district over a long-range period is proposed based on fuzzy theories. First, a fuzzy model is described. Second, a method to estimate the social increase by sex and age in each district is proposed based on a fuzzy clustering method for dealing with long-range socioeconomic changes in population migration. By the proposed methods, it became possible to predict the population by sex, age and district over a long-range period. Third, the structure and characteristics of the three models of employment model, time distance model, and land use model constructed to predict various socioeconomic indicators, which are require...

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