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  • Produktbild: Intuitionistic Fuzzy Aggregation and Clustering
  • Produktbild: Intuitionistic Fuzzy Aggregation and Clustering
Band 279

Intuitionistic Fuzzy Aggregation and Clustering

Aus der Reihe Studies in Fuzziness and Soft Computing

Fr. 138.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.06.2015

Abbildungen

IX, 278 p.

Verlag

Springer Berlin

Seitenzahl

278

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

441 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-43612-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.06.2015

Abbildungen

IX, 278 p.

Verlag

Springer Berlin

Seitenzahl

278

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

441 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-43612-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Intuitionistic Fuzzy Aggregation and Clustering
  • Produktbild: Intuitionistic Fuzzy Aggregation and Clustering
  • 1 Intuitionistic Fuzzy Aggregation Techniques.-1.1 Rankings of Intuitionistic Fuzzy Values.-1.1.1 Intuitionistic Fuzzy Values.-1.1.2 Methods for Ranking IFVs.-1.1.2.1 The Method for Ranking IFVs by Using the Score Function.-1.2.1.2 The Method for Ranking IFVs by Using the Positive Ideal Point.-1.1.2.3 The Method for Ranking IFVs by Using the Intuitionistic Fuzzy Point Operators.-1.1.2.4 The Method for Ranking IFVs by Using the Similarity Measure and the Accuracy Degree.-1.1.3 The Application of Ranking IFVs Using the Similarity Measure and the Accuracy Degree in Multi-attribute Decision Making.-1.2 Intuitionistic Fuzzy Power Aggregation Operators.-1.2.1 Power Aggregation Operatores.-1.2.2 Some Operational Laws of IFVs.-1.2.3 Power Aggregation Operators for IFVs.-1.2.4 Approaches to Multi-attribute Group  Decision Making with Intuitionistic Fuzzy Information.-1.2.5 Practical Example.-1.3 Interval-valued Intuitionistic Fuzzy Power Aggregation Operators.-1.3.1 Interval-valued Intuitionistic Fuzzy Values .-1.3.2 Power Aggregation Operators for IVIFVs.-1.3.3 Approaches to Multi-attribute Group Decision Making with Interval-valued Intuitionistic Fuzzy Information.-1.4 Intuitionistic Fuzzy Geometric Bonferroni Means.-1.4.1 Geometric Bonferroni Mean.-1.4.2 Intuitionistic Fuzzy Geometric Bonferroni Mean.-1.4.3 The Weighted Intuitionistic Fuzzy Geometric Bonferroni Mean and Its Application in Multi-attribute Decision Making.-1.5 Generalized Intuitionistic Fuzzy Bonferroni Means.-1.5.1 Generalized Bonferroni Means.-1.5.2 Generalized Intuitionistic Fuzzy Weighted Bonferroni Mean.-1.5.3 Generalized Intuitionistic Fuzzy Weighted Bonferroni Geometric Mean.-1.6 Intuitionistic Fuzzy Aggregation Operators Based on Archimedean t-conorm and t-norm.-1.6.1 Intuitionistic Fuzzy Operational Laws Based on t-conorm and t-norm.-1.6.2 Intuitionistic Fuzzy Aggregation Operators Based on Archimedean t-conorm and t-norm.-1.6.3 An Approach to Intuitionistic Fuzzy Multi-attribute DecisionMaking.-1.7 Generalized Intuitionistic Fuzzy Aggregation Operators Based on Hamacher t-conorm and t-norm.-1.8 Point Operators for Aggregation IFVs.-1.9 Generalized Point Operators for Aggregating IFVs.-2 Intuitionistic Fuzzy Clustering Algorithms.-2.1Clustering Algorithms Based on Intuitionistic Fuzzy Similarity Matrices.-2.2 Clustering Algorithms Based on Association Matrices.-2.3 Intuitionistic Fuzzy Hierarchical Clustering Algorithms.-2.4 Intuitionistic Fuzzy Orthogonal Clustering Algorithm.-2.5 Intuitionistic Fuzzy C-Means Clustering Algorithms.-2.6 Intuitionistic Fuzzy MST Clustering Algorithm.-2.7 Intuitionistic Fuzzy Clustering Algorithm Based on Boole Matrix and Association Measure.-2.7.1 Intuitionistic Fuzzy Association Measures.-2.7.2 Intuitionistic Fuzzy Clustering Algorithm.-2.7.3 Numerical Example.-2.7.4 Interval-Valued Intuitionistic Fuzzy Clustering Algorithm.-2.8 A Netting Method for Clustering Intuitionistic Fuzzy Information.-2.8.1 A New Approach to Constructing Intuitionistic Fuzzy Similiarity Matrix.-2.8.2 A Netting Clustering Method.-2.8.3 Illustrative Examples.-2.9 Direct Cluster Analysis Based on Intuitionistic Fuzzy Implication.-2.9.1 The Intuitionistic Fuzzy Implication Operator and Intuitionistic Fuzzy Products.-2.9.1 The Application of Two Intuitionistic Fuzzy Products.-2.9.2 The Application of Two Intuitionistic Fuzzy Products.-2.9.3 The Application of the Intuitionistic Fuzzy Triangle Products.-2.9.4 The Application of the Intuitionistic Square Product.-2.9.5 A Direct Intuitionistic Fuzzy Cluster Analysis Method.-References.