Granular Computing and Decision-Making Interactive and Iterative Approaches
This volume is devoted to interactive and iterative processes of decision-making– I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2015, 2015
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Edition: | 1st ed. 2015 |
Series: | Studies in Big Data
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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