A case study of using the generalized K-harmonic means method in decision-making processes

DOI10.1080/02522667.2008.10699838zbMath1173.90427OpenAlexW1993252470MaRDI QIDQ3633874

Anthony Y. H. Liao, Shih-Yen Lin, Jiunn-I. Shieh, Hsin-Hung Wu

Publication date: 23 June 2009

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.2008.10699838

zbMATH Keywords

selectiondecision analysispriority\(K\)-means algorithm\(K\)-harmonic means algorithm

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

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Uses Software

• R
• S-PLUS

Cites Work

• Unnamed Item
• Algorithm AS 136: A K-Means Clustering Algorithm
• Comparative performance of the FSCL neural net and \(K\)-means algorithm for market segmentation
• Fuzzy multiple objective decision making. Methods and applications
• Integration of self-organizing feature map and K-means algorithm for market segmentation
• Using \(k\)-nearest-neighbor classification in the leaves of a tree
• A study of the classification capabilities of neural networks using unsupervised learning: A comparison with \(K\)-means clustering

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