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The use of axiomatic fuzzy set theory in AHP and TOPSIS methodology to determine strategies priorities by SWOT analysis

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  • Angelo Menga Ebonzo

  • Xiaodong Liu

Abstract

Strengths, weaknesses, opportunities and threats (SWOT) matrix is one of the most used tools for strategic planning, specially in the stage of extracting strategies. While the use of SWOT analysis is quite common and popular, it still continuous to have certain structural problems such that: the lack of considering uncertain and boolean (two sided) factors, lack of prioritization of the factors and too many extractable strategies. In this paper, we deal with the analytic hierarchy process (AHP) to find weights of SWOT groups and weights of sub-factors within each groups; and we make use of the technique for order preference by similarity to ideal solution (TOPSIS) methodology to determine strategies priority. In addition, in order to deal with uncertainty and vagueness, we incorporate axiomatic fuzzy set (AFS) theory instead of traditional fuzzy set theory. AHP and TOPSIS are applied to the light of AFS theory. The advantages of dealing with AFS theory in the proposed approach are that: it can directly be applied to the data, the features of the data-sets can be mixed; however, the traditional fuzzy set theory deals with fuzzy numbers and it’s clear that different fuzzy numbers will lead to different results; hence the inconsistency of previous methodologies, described in the literature, copes with the methodology proposed in this paper. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Angelo Menga Ebonzo & Xiaodong Liu, 2013. "The use of axiomatic fuzzy set theory in AHP and TOPSIS methodology to determine strategies priorities by SWOT analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2671-2685, August.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:5:p:2671-2685
    DOI: 10.1007/s11135-012-9679-2
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    References listed on IDEAS

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    1. Kuo-Liang Lee & Wen-Chih Huang & Junn-Yuan Teng, 2009. "Locating the competitive relation of global logistics hub using quantitative SWOT analytical method," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 87-107, January.
    2. Kurttila, Mikko & Pesonen, Mauno & Kangas, Jyrki & Kajanus, Miika, 2000. "Utilizing the analytic hierarchy process (AHP) in SWOT analysis -- a hybrid method and its application to a forest-certification case," Forest Policy and Economics, Elsevier, vol. 1(1), pages 41-52, May.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    4. Liang, Gin-Shuh & Chou, Tsung-Yu & Han, Tzeu-Chen, 2005. "Cluster analysis based on fuzzy equivalence relation," European Journal of Operational Research, Elsevier, vol. 166(1), pages 160-171, October.
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    1. Xueping Gao & Lingling Chen & Bowen Sun & Yinzhu Liu, 2017. "Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
    2. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    3. Srđan Dimić & Dragan Pamučar & Srđan Ljubojević & Boban Đorović, 2016. "Strategic Transport Management Models—The Case Study of an Oil Industry," Sustainability, MDPI, vol. 8(9), pages 1-27, September.
    4. Ali Azarnivand & Mohammad Ebrahim Banihabib, 2017. "A Multi-level Strategic Group Decision Making for Understanding and Analysis of Sustainable Watershed Planning in Response to Environmental Perplexities," Group Decision and Negotiation, Springer, vol. 26(3), pages 629-648, May.

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