Intuitionistic fuzzy aggregation and clustering

著者

    • Xu, Zeshui

書誌事項

Intuitionistic fuzzy aggregation and clustering

Zeshui Xu

(Studies in fuzziness and soft computing, 279)

Springer, c2012

  • hbk.

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

This book offers a systematic introduction to the clustering algorithms for intuitionistic fuzzy values, the latest research results in intuitionistic fuzzy aggregation techniques, the extended results in interval-valued intuitionistic fuzzy environments, and their applications in multi-attribute decision making, such as supply chain management, military system performance evaluation, project management, venture capital, information system selection, building materials classification, and operational plan assessment, etc.

目次

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 Decision Making.-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.

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詳細情報

  • NII書誌ID(NCID)
    BB11573101
  • ISBN
    • 9783642284052
  • 出版国コード
    gw
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Berlin ; London
  • ページ数/冊数
    ix, 278 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
  • 親書誌ID
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