UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDY06070


Registration ID:
233085

Page Number

486-495

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Title

Optimization Selection of facility location problems based on Generalized transport costs via Fuzzy C-Mean Clustering

Abstract

The aim of this paper is to construct a localization selection model on the basis of generalized transport costs, taking into account the impact of the quantity and location of depots on transport costs, using an economical scale theory, and to solve the problem of the use of fuzzy C means. To explain the proposed approach numerical examples are solved, explaining the results obtained.

Key Words

Location selection model, Transportation cost, Fuzzy C-means clustering

Cite This Article

"Optimization Selection of facility location problems based on Generalized transport costs via Fuzzy C-Mean Clustering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.486-495, January 2019, Available :http://www.jetir.org/papers/JETIRDY06070.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Optimization Selection of facility location problems based on Generalized transport costs via Fuzzy C-Mean Clustering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp486-495, January 2019, Available at : http://www.jetir.org/papers/JETIRDY06070.pdf

Publication Details

Published Paper ID: JETIRDY06070
Registration ID: 233085
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 486-495
Country: -, -, - .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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