Using fuzzy Analytic Network Process (FANP) in a SWOT Analysis
Using fuzzy Analytic Network Process (FANP) in a SWOT Analysis

Keywords

strategic planning
SWOT matrix
analytic network process
fuzzy analytic hierarchy process
chang’s extent analysis method
triangular fuzzy number

How to Cite

T.Partani, & M.Haji Alishahi. (2013). Using fuzzy Analytic Network Process (FANP) in a SWOT Analysis. Global Journal of Computer Science and Technology, 13(G2), 17–32. Retrieved from https://gjcst.com/index.php/gjcst/article/view/1488

Abstract

The present study aimed at using Using fuzzy Analytic Network Process FANP In a SWOT Analysis On the other hand In this research we tried to use of strengths weaknesses opportunities and threats SWOT analysis which is one of the most famous table technique in strategic planning process in identify strategic factors of organization and by discovering and identifying those factors the organization can be build strategies that in SWOT are referred to as SO ST WO and WT strategies According to internal dependencies existed in most parts of strategic planning therefore it was necessary to employ a technique which allowed us to measure its dependencies In many of decision problems was desirable that relations among factors could be imagin as like as reality word The ANP powerful instrument with fuzzy phase got to allow modeling SWOT analysis to planners organization This research was done in 2011 in Notash Afra Co which works in the field of installation of water and energy projects in Tehran The present research in terms of purpose was an applied research it was also considered as a descriptive research In this research for determining importance weight fuzzy analytic network process was used The used fuzzy method was Chang s extent analysis method EA Excel software had been used in calculations for analytic network process through using extent analysis method for determination of importance weights and MATLAB software had been used for reaching final results Research results showed that when dependence exists among SWOT factors this dependence could change weight and priority of strategy alternative and eventually WO strategy with the final weight of 0 317 was selected as the best strategy
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