Description

Book Synopsis

.- Modeling Complex Dynamics: Adapting Analytical Tools for Diverse Scenarios.
.- Adaptive Fuzzy Level Set Algorithm for Bitcoin Realized Volatility Modeling and Forecasting.
.- Unconstrained Parametrization of Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.
.-
New Contexts in Aggregation Theory.
.- Prioritized preference aggregation for non-uniform groups of agents.
.- An axiomatic study of the properties satisfied by methods for ranking the elements of a poset.
.- Goodness-of-fit tests to location-scale families based on OWA functions.
.- Multidimensional aggregation and measurement of social poverty.
.- Ontology Aggregation with Maximum Consensus Based on a Fuzzy Multi-Criteria Group Decision Making Method.
.-
Representing and Managing Uncertainty.
.- How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique.
.- Some results on fuzzy basis of fuzzy Lie algebras.
.- Visual comparison of inclusion measures.
.- Implication construction methods on bounded lattices.
.- Idea Management and Game Theory with Uncertain Payoffs.
.- On direct systems of implications with graded attributes.
.- Robust decisions: bridging the quantitative-qualitative gap.
.-
Soft Methods in Statistical Inference and Data Analysis.
.- A soft clustering method derived from the probabilistic interpretation of Fuzzy C-Means.
.- Alpha-Maxmin Classification with an Ensemble of Structural Restricted Boltzmann Machines.
.- FLIRT-An Algorithm to Enhance a Regression Model with Federated Learning and GAN-Based Resampling.
.- Modeling Treatment Effect with Fuzzy Data.
.- Resampling Approaches for Multivariate Random Interval Numbers.
.-
Type 2 Fuzzy Sets.
.- A Decision-Making Framework based on Intersection and Similarity measures for Type-2 Fuzzy Sets.
.- About T-norms and T-conorms on new Preorders in Type-2 Fuzzy Sets.

.- Advancements and Applications of Fuzzy Theory.
.- Enhanced Anti-Money Laundering Transaction Monitoring via Fuzzy Equivalence in Rule-Based Systems.
.- An Enhanced Multi Criteria Decision Making Model for Delivery Locker Placement Using TOPSIS and Einstein Operators in a Pythagorean Fuzzy Framework.
.- How to Share a Success, How to Share a Crisis, and How All This Is Related to Fuzzy.
.- Prostate cancer diagnosis: a geometric approach based on the Beer index.

Advances in Fuzzy Logic and Technology

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback by Michal Baczynski

    15 in stock


      View other formats and editions of Advances in Fuzzy Logic and Technology by Michal Baczynski

      Publisher: Springer
      Publication Date: 30/07/2025
      ISBN13: 9783031972270, 978-3031972270
      ISBN10:

      Description

      Book Synopsis

      .- Modeling Complex Dynamics: Adapting Analytical Tools for Diverse Scenarios.
      .- Adaptive Fuzzy Level Set Algorithm for Bitcoin Realized Volatility Modeling and Forecasting.
      .- Unconstrained Parametrization of Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.
      .-
      New Contexts in Aggregation Theory.
      .- Prioritized preference aggregation for non-uniform groups of agents.
      .- An axiomatic study of the properties satisfied by methods for ranking the elements of a poset.
      .- Goodness-of-fit tests to location-scale families based on OWA functions.
      .- Multidimensional aggregation and measurement of social poverty.
      .- Ontology Aggregation with Maximum Consensus Based on a Fuzzy Multi-Criteria Group Decision Making Method.
      .-
      Representing and Managing Uncertainty.
      .- How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique.
      .- Some results on fuzzy basis of fuzzy Lie algebras.
      .- Visual comparison of inclusion measures.
      .- Implication construction methods on bounded lattices.
      .- Idea Management and Game Theory with Uncertain Payoffs.
      .- On direct systems of implications with graded attributes.
      .- Robust decisions: bridging the quantitative-qualitative gap.
      .-
      Soft Methods in Statistical Inference and Data Analysis.
      .- A soft clustering method derived from the probabilistic interpretation of Fuzzy C-Means.
      .- Alpha-Maxmin Classification with an Ensemble of Structural Restricted Boltzmann Machines.
      .- FLIRT-An Algorithm to Enhance a Regression Model with Federated Learning and GAN-Based Resampling.
      .- Modeling Treatment Effect with Fuzzy Data.
      .- Resampling Approaches for Multivariate Random Interval Numbers.
      .-
      Type 2 Fuzzy Sets.
      .- A Decision-Making Framework based on Intersection and Similarity measures for Type-2 Fuzzy Sets.
      .- About T-norms and T-conorms on new Preorders in Type-2 Fuzzy Sets.

      .- Advancements and Applications of Fuzzy Theory.
      .- Enhanced Anti-Money Laundering Transaction Monitoring via Fuzzy Equivalence in Rule-Based Systems.
      .- An Enhanced Multi Criteria Decision Making Model for Delivery Locker Placement Using TOPSIS and Einstein Operators in a Pythagorean Fuzzy Framework.
      .- How to Share a Success, How to Share a Crisis, and How All This Is Related to Fuzzy.
      .- Prostate cancer diagnosis: a geometric approach based on the Beer index.

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