Neural computing approach to Japanese electoral system

Takayuki Saito, Yoshiyasu Takefuji

Research output: Contribution to conferencePaper

Abstract

In December 1994, Japanese single-member constituency system for the House of Representatives was established where Japan is divided into three hundred constituencies. A single representative will be elected from each constituency. Zoning three hundred constituencies was accomplished by hand calculators in Japan where zoning the constituencies is a very elaborate task because several constraints must be satisfied. This paper presents a neural computing approach for automatically zoning constituencies. Our method was examined by using 25 Tokyo constituencies. Ideally, the weight of a single vote in a certain population to elect a representative should be equal to that of the other constituencies. Based on the established rule, the ratio of the lightest weight to the heaviest weight must be within two. Our result shows that our ratio is 1.28 while the current (official) ratio is 1.47.

Original languageEnglish
Pages2202-2207
Number of pages6
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
Duration: 1995 Nov 271995 Dec 1

Other

OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CityPerth, Aust
Period95/11/2795/12/1

ASJC Scopus subject areas

  • Software

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    Saito, T., & Takefuji, Y. (1995). Neural computing approach to Japanese electoral system. 2202-2207. Paper presented at Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6), Perth, Aust, .