A Generic Feature Extraction Approach for Dealing with Multiple Attribute Decision Analysis Problems under Risk and Uncertainty

A Generic Feature Extraction Approach for Dealing with Multiple Attribute Decision Analysis Problems under Risk and Uncertainty

This paper represents a generic feature extraction approach to handle multiple attribute decision analysis problems. For that purpose, available decision support frameworks are carefully studied and the basic types of attributes involved in the decision problems are identified. Based on this analysi...

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Bibliographic Details
Main Authors: M. Z. Hasan, S. Hossain, M. S. Uddin, M. S. Islam
Format: Article
Language:English
Published: D. G. Pylarinos 2020-06-01
Series:Engineering, Technology & Applied Science Research
Subjects:
multi-attribute
decision problem
feature extraction
knowledge base
uncertainty
risk
Online Access:https://www.etasr.com/index.php/ETASR/article/view/3537

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