Granular Computing and Decision-Making Interactive and Iterative Approaches

Granularity Helps Explain Seemingly Irrational Features of Human Decision Making.- A Comprehensive Granular Model for Decision Making with Complex Data.-Granularity in Economic Decision Making: An Interdisciplinary Review.- Decision Makers’ Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM.- Using Computing with Words for Managing Non-Cooperative Behaviors in Large Scale Group Decision Making.- A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making.- Multi-Criteria Influence Diagrams – A Tool for the Sequential Group Risk Assessment.-Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative Steps.- Decision Making – Interactive and Interactive Approaches.- Collaborative Decision Making by Ensemble Rule Based Classification Systems.- A GDM Method Based on Granular Computing for Academic Library Management.- Spatial-taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation.- Group Decision Making in Fuzzy Environment – An Iterative Procedure Based on Group Dynamics.- Fuzzy Optimization in Decision Making of Air Quality Management.- Group Decision Making in Fuzzy Environment – An Iterative Procedure Based on Group Dynamics.- Fuzzy Optimization in Decision Making of Air Quality Management.