Integrating analytical network process and fuzzy logic to prioritize the strategies - A case study for tile manufacturing firm

Authors:
Mohammad Babaesmailli;Behrooz Arbabshirani;Vahid Golmah
Affiliations:
Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;Department of Computer Engineering, Islamic Azad University, Branch Neyshabor, Iran
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 9
Cited 1

Fuzzy set theory—and its applications (3rd ed.)

Fuzzy set theory—and its applications (3rd ed.)
Fuzzy Multiple Attribute Decision Making: Methods and Applications

Fuzzy Multiple Attribute Decision Making: Methods and Applications
Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process

Operations Research
Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach

International Journal of Intelligent Systems
Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm

Information Sciences: an International Journal
A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study

Information Sciences: an International Journal
Strategic Management of Technology and Innovation

Strategic Management of Technology and Innovation
Fuzzy analytic network process and its application to the development of decision support systems

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

SWOT analysis is the most important tool for decision makers in strategic management process, because it enables the managers to discover and collect the facts that resulted from internal and external analysis. This analysis can be a good base for strategy formulation, but it is not non-defect. It includes no means of analytically determining the importance of factors or assessing the fit between SWOTS factors and decision alternatives and is mainly based on the qualitative analysis. Many researchers develop different techniques to quantify the SWOT analysis, but these methods are not comprehensive. In this study, we develop a fuzzy method model for quantitative weighing of SWOT strategies. The decision maker's imprecise information is regarded by fuzzy numbers in this model. To consider dependency among factors and sub-factors, we use ANP technique in our research. We demonstrate our model with a case study example and compare results of our research with prior research.