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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...

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Bibliographic Details
Other Authors: Pedrycz, Witold (Editor), Chen, Shyi-Ming (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:Studies in Big Data
Subjects:
Computational Intelligence
Artificial Intelligence
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

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