Intuitionistic fuzzy cognitive map based analysis of supply chain risks

Title Intuitionistic fuzzy cognitive map based analysis of supply chain risks
Author Büyüközkan, G., Havle, Celal Alpay, Feyzioğlu, O.
Publication Date: 2021
Publication Place - Springer
Subject Intuitionistic fuzzy cognitive map, Supply chain, Supply chain risk management, Supply chain risks
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-303085913-8
Record ID bc2cdb5d-21cf-4428-8144-8fcbddf4abc1
Library Location Professional Flight Program
Date 2021
Notes Scientific Research Projects Commission of Galatasaray University
Sample Text Supply chains (SCs) are network-like structures and gigantic systems. Such systems are complex and multifaceted. Therefore, they contain many components and risk factors that are directly or indirectly related to each other. The importance of SCs, which has always been important for companies, is increasing day by day. Therefore, it is vital to focus on supply chain management (SCM) and the risk factors encountered in this management process. Plus, the investigation of the cause-effect relationships, evaluation, and analysis of these factors hold a critical role for SCM. Accordingly, this study aims to reveal the risk factors that should be considered in SCM and analyze these factors. Moreover, the causal relationships of these risk factors are aimed to be revealed. For this purpose, Cognitive Map (CM) approach is utilized. The classical CM approach is expanded to the intuitionistic fuzzy (IF) environment and used as the IFCM approach to eliminate the uncertainty and intuition involved in real-life problems and decision-making processes. SC risk factors’ importance degrees and causal relations between the factors are displayed and visualized.
DOI 10.1007/978-3-030-85914-5_67
Cilt 634
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Intuitionistic fuzzy cognitive map based analysis of supply chain risks

Author Büyüközkan, G., Havle, Celal Alpay, Feyzioğlu, O.
Publication Date 2021
Publication Place - Springer
Subject Intuitionistic fuzzy cognitive map, Supply chain, Supply chain risk management, Supply chain risks
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-303085913-8
Record ID bc2cdb5d-21cf-4428-8144-8fcbddf4abc1
Library Location Professional Flight Program
Date 2021
Notes Scientific Research Projects Commission of Galatasaray University
Sample Text Supply chains (SCs) are network-like structures and gigantic systems. Such systems are complex and multifaceted. Therefore, they contain many components and risk factors that are directly or indirectly related to each other. The importance of SCs, which has always been important for companies, is increasing day by day. Therefore, it is vital to focus on supply chain management (SCM) and the risk factors encountered in this management process. Plus, the investigation of the cause-effect relationships, evaluation, and analysis of these factors hold a critical role for SCM. Accordingly, this study aims to reveal the risk factors that should be considered in SCM and analyze these factors. Moreover, the causal relationships of these risk factors are aimed to be revealed. For this purpose, Cognitive Map (CM) approach is utilized. The classical CM approach is expanded to the intuitionistic fuzzy (IF) environment and used as the IFCM approach to eliminate the uncertainty and intuition involved in real-life problems and decision-making processes. SC risk factors’ importance degrees and causal relations between the factors are displayed and visualized.
DOI 10.1007/978-3-030-85914-5_67
Cilt 634
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