An inclusive primer on intuitionistic fuzzy clustering algorithms, this volume covers priority theory and methods of intuitionistic preference relations. It also shows how fuzzy algorithms can be applied to practicalities such as supply-chain management.

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.

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.

A systematic survey of intuitionistic fuzzy clustering algorithms A comprehensive coverage of priority theory and methods of intuitionistic preference relations Detailed introduction and insights into a variety of models and approaches for interactive decision making with intuitionistic fuzzy information A systematic introduction to the latest research results in intuitionistic fuzzy aggregation techniques Includes supplementary material: sn.pub/extras

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