Application of intuitionistic fuzzy numbers in SWOT analysis

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Author(s)
Roghanian, E
Ghorbani, B
Alipour, M
Griffith University Author(s)
Year published
2018
Metadata
Show full item recordAbstract
Strategic studies are of high importance in every business administration. Some of them, like strengths, weaknesses, opportunities, threats (SWOT), can be used widely. However, uncertainty is always considered as a major obstacle for extracting strategies from these techniques. On the other hand, introduction of fuzzy logic facilitates the connection between real world managerial problems and deterministic mathematics. This paper thus focused on vague characteristic of the data used in SWOT analysis, and tried to solve it by utilisation of the intuitionistic fuzzy numbers (IFN), as a transformation which enables the outcome ...
View more >Strategic studies are of high importance in every business administration. Some of them, like strengths, weaknesses, opportunities, threats (SWOT), can be used widely. However, uncertainty is always considered as a major obstacle for extracting strategies from these techniques. On the other hand, introduction of fuzzy logic facilitates the connection between real world managerial problems and deterministic mathematics. This paper thus focused on vague characteristic of the data used in SWOT analysis, and tried to solve it by utilisation of the intuitionistic fuzzy numbers (IFN), as a transformation which enables the outcome of this procedure to be identified more explicitly.
View less >
View more >Strategic studies are of high importance in every business administration. Some of them, like strengths, weaknesses, opportunities, threats (SWOT), can be used widely. However, uncertainty is always considered as a major obstacle for extracting strategies from these techniques. On the other hand, introduction of fuzzy logic facilitates the connection between real world managerial problems and deterministic mathematics. This paper thus focused on vague characteristic of the data used in SWOT analysis, and tried to solve it by utilisation of the intuitionistic fuzzy numbers (IFN), as a transformation which enables the outcome of this procedure to be identified more explicitly.
View less >
Journal Title
International Journal of Industrial and Systems Engineering
Volume
28
Issue
2
Copyright Statement
© 2018 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
Subject
Mechanical Engineering