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... An un-capacitated MFLP is defined as a special clustering problem if the set of customers served by a specific facility is considered as a cluster [31].
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The facility location problem is the classical, combinatorial problem of finding the number and locations of a set of facilities (warehouses, plants, machines ...
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This research introduces a new approach for modeling of company's behavior based on Fuzzy Clustering Means (FCM). Fuzzy clustering is one of well-known ...
Oct 22, 2024 · A fuzzy clustering-based hybrid method for a multi-facility location problem is presented in this study. It is assumed that capacity of each ...
The problem was modeled and solved in three stages. In the first stage, an improved fuzzy set covering solution was proposed to determine the minimum number of ...
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A fuzzy clustering-based hybrid method for a multi-facility location problem · Capacitated clustering problems by hybrid simulated annealing and tabu search · A ...
In this paper we consider the problem of partitioning a dataset into clusters, putting similar data objects together, subject to weighted capacity constraints.
Fuzzy C-means clustering and facility location problems. - dblp
dblp.org › rec › conf › asc › Zalik06
Krista Rizman Zalik: Fuzzy C-means clustering and facility location problems. Artificial Intelligence and Soft Computing 2006: 256-261. manage site settings.
This study proposes four probabilistic fuzzy c-means algorithms which include a probabilistic fuzzy c-means algorithm (Probabilistic FCM), a probabilistic ...
In this paper, we address a discrete facility location problem where a retailer aims at locating new facilities with possibly different characteristics.