Interval-valued Data Clustering based on the Range City Block metric

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2016.7844246 ◽

2016 ◽

Cited By ~ 2

Author(s):

Sergio Galdino

Keyword(s):

Data Clustering ◽

City Block ◽

Interval Valued

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Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances

Neurocomputing ◽

10.1016/j.neucom.2017.05.084 ◽

2017 ◽

Vol 266 ◽

pp. 659-673 ◽

Cited By ~ 8

Author(s):

Francisco de A.T. de Carvalho ◽

Eduardo C. Simões

Keyword(s):

Fuzzy Clustering ◽

City Block ◽

Interval Valued

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Interval-valued Data Clustering Based on Range Metrics (P)

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering ◽

10.18293/seke2018-113 ◽

2018 ◽

Author(s):

Sérgio Galdino ◽

Welligton Santos ◽

Ricardo Paranhos

Keyword(s):

Data Clustering ◽

Interval Valued

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Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances

2013 Brazilian Conference on Intelligent Systems ◽

10.1109/bracis.2013.27 ◽

2013 ◽

Cited By ~ 1

Author(s):

Francisco de A.T. de Carvalho ◽

Gibson B.N. Barbosa ◽

Julio T. Pimentel

Keyword(s):

Clustering Algorithms ◽

City Block ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Interval Valued

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Self-Organizing Map Based on City-Block Distance for Interval-Valued Data

Complex Systems Design & Management ◽

10.1007/978-3-642-25203-7_20 ◽

2012 ◽

pp. 281-292 ◽

Cited By ~ 1

Author(s):

Chantal Hajjar ◽

Hani Hamdan

Keyword(s):

Self Organizing Map ◽

City Block ◽

City Block Distance ◽

Interval Valued ◽

Self Organizing

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A new fuzzy clustering algorithm for interval-valued data based on City-Block distance

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2019.8859017 ◽

2019 ◽

Author(s):

Sara Ines Rizo Rodriguez ◽

Francisco de Assis Tenorio de Carvalho

Keyword(s):

Fuzzy Clustering ◽

Clustering Algorithm ◽

City Block ◽

Fuzzy Clustering Algorithm ◽

City Block Distance ◽

Interval Valued

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A neural networks approach to interval-valued data clustering. Applicationto Lebanese meteorological stations data

2011 IEEE Workshop on Signal Processing Systems (SiPS) ◽

10.1109/sips.2011.6089005 ◽

2011 ◽

Cited By ~ 2

Author(s):

Hani Hamdan ◽

Chantal Hajjar

Keyword(s):

Neural Networks ◽

Data Clustering ◽

Interval Valued

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Framework to Analyze Construction Labor Productivity Using Fuzzy Data Clustering and Multi-Criteria Decision-Making

Construction Research Congress 2020 ◽

10.1061/9780784482865.006 ◽

2020 ◽

Author(s):

Matin Kazerooni ◽

Mohammad Raoufi ◽

Aminah Robinson Fayek

Keyword(s):

Decision Making ◽

Labor Productivity ◽

Data Clustering ◽

Fuzzy Data ◽

Multi Criteria Decision Making

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Models for Multiple Attribute Decision Making with Interval-Valued Pythagorean Fuzzy Muirhead Mean Operators and Their Application to Green Suppliers Selection

Informatica ◽

10.15388/informatica.2019.202 ◽

2019 ◽

Vol 30 (1) ◽

pp. 153-186 ◽

Cited By ~ 14

Author(s):

Xiyue Tang ◽

Guiwu Wei ◽

Hui Gao

Keyword(s):

Decision Making ◽

Multiple Attribute Decision Making ◽

Multiple Attribute ◽

Green Suppliers ◽

Interval Valued

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An Approach to Interval-Valued Hesitant Fuzzy Multi-Attribute Decision Making with Incomplete Weight Information Based on Hybrid Shapley Operators

Informatica ◽

10.15388/informatica.2014.32 ◽

2014 ◽

Vol 25 (4) ◽

pp. 617-642 ◽

Cited By ~ 14

Author(s):

Fanyong Meng ◽

Xiaohong Chen

Keyword(s):

Decision Making ◽

Incomplete Weight ◽

Incomplete Weight Information ◽

Multi Attribute Decision Making ◽

Interval Valued

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A New Similarity Measure of Interval-Valued Intuitionistic Fuzzy Sets and its Application in Commodity Recommendation

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v13i1.16864 ◽

2018 ◽

Vol 13 (1) ◽

pp. 28

Author(s):

Peng Luo ◽

Yongli Li ◽

Chong Wu

Keyword(s):

Fuzzy Sets ◽

Similarity Measure ◽

Intuitionistic Fuzzy Sets ◽

Intuitionistic Fuzzy ◽

Interval Valued

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