DocumentCode :
295865
Title :
Neural computing approach to Japanese electoral system
Author :
Saito, Takayuki ; Takefuji, Yoshiyasu
Author_Institution :
Graduate Sch. of Media & Governance, Keio Univ., Fujisawa, Japan
Volume :
5
fYear :
1995
fDate :
Nov/Dec 1995
Firstpage :
2202
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 and the process was 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
Keywords :
government data processing; neural nets; operations research; politics; House of Representatives; Japanese electoral system; Tokyo; constituency zoning; neural computing; single-member constituency system; weight ratio; Calculators; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
Type :
conf
DOI :
10.1109/ICNN.1995.487702
Filename :
487702
Link To Document :
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