Title: Application of intuitionistic fuzzy numbers in SWOT analysis

Authors: Emad Roghanian; Baharak Ghorbani; Mohammad Alipour

Addresses: Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran ' Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran ' Sustainable Energies Group, AUT Office of Sustainability, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

Abstract: Strategic studies are of high importance in every business administration. Some of them, like strengths, weaknesses, opportunities, threats (SWOT), can be used widely. However, uncertainty is always considered as a major obstacle for extracting strategies from these techniques. On the other hand, introduction of fuzzy logic facilitates the connection between real world managerial problems and deterministic mathematics. This paper thus focused on vague characteristic of the data used in SWOT analysis, and tried to solve it by utilisation of the intuitionistic fuzzy numbers (IFN), as a transformation which enables the outcome of this procedure to be identified more explicitly.

Keywords: strengths, weaknesses, opportunities, threats; SWOT; fuzzy set; intuitionistic fuzzy number; IFN; α-cut.

DOI: 10.1504/IJISE.2018.089134

International Journal of Industrial and Systems Engineering, 2018 Vol.28 No.2, pp.152 - 165

Received: 26 Aug 2015
Accepted: 19 Dec 2015
Published online: 08 Jan 2018 *

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