Introducing the λ-Scale DEMATEL method: Developing the classical DEMATEL technique

DEMATEL method is a methodology to deal with complex systems. Its core process is to visualize structurally the graphical interrelation among some critical factors known as the most important factors affecting on the performance or the decision making issues. The initial direct influence matrix in DEMATEL methodology would be assessed by the integer scale of 0,1,2,3,4 for "no influence" , "low influence", "medium influence", "high influence" and "very high influence" respectively. Linguistically this scale is not symmetric because of that there has been no value considered for the term of " very low influence". Additionally there is a challenge for the infinity test of the normalized matrix in DEMATEL procedure. In this research, it would be intended to redefine the input scale of DEMATEL and propose a modificationto redesign the DEMATEL method. Eventually, a threshold value formula has been presented for filtering out the final total influence matrix.

Introducing the λ-Scale DEMATEL method: Developing the classical DEMATEL technique

DEMATEL method is a methodology to deal with complex systems. Its core process is to visualize structurally the graphical interrelation among some critical factors known as the most important factors affecting on the performance or the decision making issues. The initial direct influence matrix in DEMATEL methodology would be assessed by the integer scale of 0,1,2,3,4 for "no influence" , "low influence", "medium influence", "high influence" and "very high influence" respectively. Linguistically this scale is not symmetric because of that there has been no value considered for the term of " very low influence". Additionally there is a challenge for the infinity test of the normalized matrix in DEMATEL procedure. In this research, it would be intended to redefine the input scale of DEMATEL and propose a modificationto redesign the DEMATEL method. Eventually, a threshold value formula has been presented for filtering out the final total influence matrix.

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