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A New Model to Implement a SWOT Fuzzy ANP

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Advances in Artificial Intelligence: From Theory to Practice (IEA/AIE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10350))

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Abstract

SWOT (i.e. Strengths, Weaknesses, Opportunities, Threats) analysis is considered as an important tool to conduct a strategic planning process by providing an internal and an external context analysis. However, these analyzes are based on the brainstorming of decision makers which may lead to subjectivity problems. Therefore, this paper aims to propose a new SWOT analysis model based on the fuzzy analytic network process (ANP) that deals with the subjectivity shortcoming.

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Author information

Authors and Affiliations

  1. LISI, Institut National des Sciences Appliquées et de Technologie, Université de Carthage, Centre Urbain Nord BP 676, 1080, Tunis, Tunisia

    Mounira Souli & Taieb Ben Romdhane

  2. LARODEC, Institut Supérieur de Gestion de Tunis, 41 Avenue de la liberté, 2000, Le Bardo, Tunisia

    Ahmed Badreddine

Authors
  1. Mounira Souli
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  2. Ahmed Badreddine
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  3. Taieb Ben Romdhane
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Corresponding author

Correspondence to Mounira Souli .

Editor information

Editors and Affiliations

  1. Artois University, Lens, France

    Salem Benferhat

  2. Artois University, Lens, France

    Karim Tabia

  3. Texas State University, San Marcos, Texas, USA

    Moonis Ali

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Souli, M., Badreddine, A., Ben Romdhane, T. (2017). A New Model to Implement a SWOT Fuzzy ANP. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_49

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  • DOI: https://doi.org/10.1007/978-3-319-60042-0_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60041-3

  • Online ISBN: 978-3-319-60042-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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