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Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey
Authors:Mehmet SevkliAsil Oztekin  Ozgur UysalGökhan Torlak  Ali TurkyilmazDursun Delen
Affiliation:a Department of Industrial Engineering, Fatih University, Buyukcekmece, Istanbul 34500, Turkey
b Department of Operations and Information Systems, College of Management, University of Massachusetts Lowell, Lowell, MA 01854, USA
c Department of Management and Department of Industrial Engineering, Fatih University, Buyukcekmece, Istanbul 34500, Turkey
d Spears School of Business, Oklahoma State University, 700 North Greenwood Avenue, Tulsa, OK 74106, USA
Abstract:Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis has been widely used to evaluate alternative strategies in order to determine the best one for given business setting. This study aims at providing a quantitative basis to analytically determine the ranking of the factors in SWOT analysis via a conventional multi-criteria decision making method, Analytic Network Process (ANP). The ANP method is preferred in this study because of its capability to model potential dependencies among the SWOT factors. The study presents uniqueness in the way it incorporates inherent vagueness and uncertainty of the human decision making process by means of the fuzzy logic. The proposed SWOT fuzzy ANP methodology was implemented and tested for the Turkish airline industry. The results showed that the SWOT fuzzy ANP is a viable and highly capable methodology that provides invaluable insights for strategic management decisions in the Turkish airline industry, and can also be used as an effective tool for other complex decision making processes.
Keywords:SWOT analysis  Strategy management  Fuzzy logic  Fuzzy AHP  Fuzzy ANP  Multi-criteria decision making  Airline industry
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