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Die Krisenwarnfunktion des Abschlußprüfers
Wolz, Matthias - 1996
Persistent link: https://www.econbiz.de/10000610599
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On the use of divergence distance in fuzzy clustering
Oussalah, M.; Nefti, Samia - In: Fuzzy optimization and decision making : a journal of … 7 (2008) 2, pp. 147-167
Persistent link: https://www.econbiz.de/10003726152
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Cluster analysis model with T-fuzzy data
Cao, Bing-yuan - In: Fuzzy optimization and decision making : a journal of … 7 (2008) 4, pp. 317-329
Persistent link: https://www.econbiz.de/10003795747
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Categorical data fuzzy clustering: an analysis of local search heuristics
Benati, Stefano - In: Computers & operations research : and their … 35 (2008) 3, pp. 766-775
Persistent link: https://www.econbiz.de/10003669525
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The optimization of the economic segmentation by means of fuzzy algorithms
Gil-Aluja, Jaime; Gil Lafuente, Ana María; Klimova, Anna - In: Computational techniques in economics and finance, (pp. 25-42). 2011
Persistent link: https://www.econbiz.de/10009579662
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Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering
Sáez, Doris; Cortés, Cristian E.; Núñez, Alfredo - In: Computers & operations research : and their … 35 (2008) 11, pp. 3412-3438
Persistent link: https://www.econbiz.de/10003722265
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On the efficiency of evolutionary fuzzy clustering
Campello, Ricardo J. G. B.; Hruschka, Eduardo R.; … - In: Journal of heuristics 15 (2009) 1, pp. 43-75
Persistent link: https://www.econbiz.de/10003816595
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Application of a genetic algorithm to variable selection in fuzzy clustering
Röver, Christian (contributor); Szepannek, Gero (contributor) - 2004
In order to group the observations of a data set into a given number of clusters, an ‘optimal’ subset out of a greater number of explanatory variables is to be selected. The problem is approached by maximizing a quality measure under certain restrictions that are supposed to keep the subset...
Persistent link: https://www.econbiz.de/10002570068