Abstract
Good performance within a company is the result of correct interaction of business management with its internal and external environment. The recognition of internal strengths and weaknesses, as well as external opportunities and threats, takes place on the basis of a SWOT analysis. Many companies are conducting a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis as part of the strategic planning process to identify the organizations’ four factor groups before proceeding to the formulation of a corporate strategy. SWOT analysis is only the determination of the factors to evaluate for the future strategic decisions depending on the current situation of a company. Although the factors of each factor group are determined with this analysis, the importance of the factors is not taken into account. Therefore, the authors use a fuzzy Multi Criteria Decision Making (MCDM) method, Fuzzy Analytic Hierarch Process (FAHP), to determine both the importance of the SWOT main-factors and sub-factors of each main-factor in a fuzzy environment. The aim of the MCDM is to obtain the optimum choice that has the highest degree of satisfaction for all of the relevant attributes. FAHP is the fuzzy version of the classical AHP methodology. The main difference of the FAHP from its own classical method is to use the fuzzy linguistic variables in comparison evaluations. On the contrary, FAHP uses the linguistic variables that are fuzzy numbers in the comparison evaluations because human beings’ subjective judgments are often vague or imprecise. For this purpose, in this study FAHP is used with the SWOT analysis to expose the existing state in transportation department of a textile firm in Kayseri, Turkey. According to the results of the analysis, the most appropriate strategy to be selected for the numerical data has been obtained.
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