Title: | BAT algorithm for improving fuzzy C-means clustering for location allocation of rural kiosks in developing countries under e-governance |
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Authors: | ID Gupta, Rajan (Author) ID Muttoo, Sunil K. (Author) ID Pal, Saibal K. (Author) |
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Language: | English |
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Work type: | Unknown |
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Typology: | 1.01 - Original Scientific Article |
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Organization: | UNG - University of Nova Gorica
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Abstract: | Rural Kiosks are important infrastructural pillar in rural regions for internet and basic technology facility all around the world. They are also known as Tele-centers or Common Service Centers and are majorly used by government to promote Electronic Governance. The major characteristic of setting up of Rural Kiosk is their appropriate location so that people from rural region can avail the services at minimum travel cost and time. There are lot of traditional schemes used by researchers in past for location allocation but this paper proposes the usage of Fuzzy C-Means clustering and BAT algorithm to optimize the location of Rural Kiosk. The meta-heuristic approach has produced better results as compared to normal graph theories in past. The experiment has been conducted on a random data set of 72 village
locations from India and their clusters are formed. It is found that using only Fuzzy C-Means clustering to allocate the center and by using it in combination with BAT algorithm produced
up to 25% of efficient results. This can drastically help the key stakeholders in allocation of these Rural Kiosks at right places so as to maximize their utility. |
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Keywords: | BAT algorithm, location allocation, rural kiosks, fuzzy C-means, e-governance, tele-centers, common service centers |
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Year of publishing: | 2016 |
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Number of pages: | str. 77-86 |
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Numbering: | Vol. 40, no. 2 |
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PID: | 20.500.12556/RUNG-6400 |
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COBISS.SI-ID: | 58029827 |
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UDC: | 004 |
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ISSN on article: | 1110-2586 |
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NUK URN: | URN:SI:UNG:REP:BC8YQNLB |
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Publication date in RUNG: | 01.04.2021 |
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Views: | 2677 |
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Downloads: | 0 |
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