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  • Application of intuitionistic fuzzy numbers in SWOT analysis

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    Author(s)
    Roghanian, E
    Ghorbani, B
    Alipour, M
    Griffith University Author(s)
    Alipour, Mohammad
    Year published
    2018
    Metadata
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    Abstract
    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 ...
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    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.
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    Journal Title
    International Journal of Industrial and Systems Engineering
    Volume
    28
    Issue
    2
    DOI
    https://doi.org/10.1504/IJISE.2018.089134
    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
    Publication URI
    http://hdl.handle.net/10072/384616
    Collection
    • Journal articles

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