Fuzzy Cognitive Maps : A Tool for the Modeling and Simulation of Processes and Systems

• Autore: Kóczy László T
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (142 pages)
• Disciplina: 003.7
• Nota di contenuto: Intro -- Foreword -- Preface -- Contents -- 1 Introduction to Fuzzy Cognitive Maps -- 1.1 The Birth of Fuzzy Cognitive Maps -- 1.2 Simulations -- 1.2.1 Inference Rules -- 1.2.2 Threshold Functions -- 1.2.3 Simulation Outcomes -- 1.2.4 An Example Simulation -- 1.3 Creating a Fuzzy Cognitive Map Model -- References -- 2 Systemic Relationships Between Regional Sustainability and Waste Management -- 2.1 Introduction -- 2.2 The Methodological Approach-A Brief Overview -- 2.3 Sustainable Waste Management Systems-A Necessity -- 2.4 Current Evaluation Methods -- 2.5 Summary of the Problem Context -- References -- 3 Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model -- 3.1 Introduction -- 3.2 The Methodological Approach of Accumulating Information -- 3.3 Results of the Questionnaire Survey on RWMSs -- 3.4 Applying the Results of the Questionnaire Survey -- 3.5 Summary -- References -- 4 Rethinking the Set of Concepts-Applying Expert Analysis by the Workshop Method -- 4.1 Introduction -- 4.2 The Methodological Approach-the Workshop Based Analysis -- 4.3 Results of the Questionnaire Survey -- 4.3.1 The New Refined FCM Model -- 4.4 Summary -- References -- 5 Model Reduction Methods -- 5.1 Introduction -- 5.2 Early Model Reduction Methods -- 5.3 Fuzzy Tolerance Relations-Based Reduction Methods -- 5.3.1 Description of the Main Functions Used for Reduction -- 5.3.2 Reduction of the Motivating Problem -- 5.3.3 Theoretical Background of FTR-Based Methods -- 5.3.4 Two-Stage Learning Based Reduction -- 5.4 K-Means-Based Model Reduction Method -- 5.5 Fuzzy C-Means-Based Model Reduction Method -- 5.6 Comparison of the Reduced Models Created by Different Methods -- 5.6.1 Reduction of the Basic Model -- 5.6.2 Reduction of the Motivating Model -- 5.7 Summary -- References. ; 6 Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series -- 6.1 Introduction -- 6.2 The Methodological Approach -- 6.3 Application of the Time Series Created to the Refined System Components Obtained from Text Mining -- 6.4 Summary -- References -- 7 Behavioral Analysis of Fuzzy Cognitive Maps -- 7.1 Introduction -- 7.2 Bacterial Evolutionary Algorithm -- 7.3 Details of the Behavior Analysis -- 7.4 Case Studies -- 7.5 Summary -- References -- 8 Fuzzy Cognitive Maps: Mathematical Challenges -- 8.1 Introduction -- 8.2 Reformulating the Updating Rule -- 8.3 Examples for Different Types of Behaviour of FCMs -- 8.4 Summary and Mathematical Problems -- References -- 9 Dynamics of Classical Fuzzy Cognitive Maps -- 9.1 Motivation and Preliminary Results -- 9.2 Mathematical Background -- 9.3 The Sigmoid Case -- 9.4 Hyperbolic Tangent Case -- 9.5 The Rescaled Sigmoid Case -- 9.6 Summary -- References -- 10 Dynamics of Fuzzy Cognitive Maps with Uncertain Weights -- 10.1 Introduction -- 10.2 Fuzzy Grey Cognitive Maps -- 10.2.1 Basic Operations on Grey Numbers -- 10.2.2 Convergence of Fuzzy Grey Cognitive Maps -- 10.3 Fuzzy Cognitive Maps with Fuzzy Weights -- 10.3.1 Some Basic Notions of Fuzzy Mathematics -- 10.3.2 Convergence of Fuzzy Set Valued Cognitive Maps -- 10.4 Summary -- References.
• Titolo autorizzato: Fuzzy Cognitive Maps
• ISBN: 9783031379598; 9783031379581
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910770269203321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Fuzziness and Soft Computing Series