DF | P | M | O |
DF1 | 1 | 5.79 | 10 |
DF2 | 2 | 6.36 | 10 |
DF3 | 1 | 6.36 | 10 |
DF4 | 1 | 6.43 | 10 |
DF5 | 1 | 6.14 | 10 |
DF6 | 1 | 6.29 | 10 |
DF7 | 2 | 6.14 | 10 |
DF8 | 1 | 6.29 | 10 |
DF9 | 1 | 6.07 | 10 |
DF10 | 1 | 6.29 | 10 |
DF11 | 2 | 6.86 | 10 |
DF12 | 1 | 6.36 | 10 |
DF13 | 2 | 6.00 | 9 |
DF14 | 2 | 6.43 | 10 |
Following to article of “Fuzzy Delphi Method to Design a Strategic Plan” posted on link: http://emfps.blogspot.com/2012/02/fuzzy-delphi-method-to-design-strategic.html, the purpose of this article is to utilize a new simulation model to design the strategic plan instead of FDM where I had already depicted this simulation model in article of “Application of Pascal’s Triangular Plus Monte Carlo Analysis to Appraise the Wisdom of Crowds” on link: http://emfps.blogspot.com/2012/05/application-of-pascals-triangular-plus_08.html. The most important finding is to show the advantages of this simulation model to design the strategic plan in which I have compared the results with FDM.
The template of this article is the same “Fuzzy Delphi Method to Design a Strategic Plan”.
Methodology
As you remember, I started an example of Driving Forces (DF) in article of “Fuzzy Delphi Method to Design a Strategic Plan” where I chose 14 experts to respond my survey questionnaire about the ranking of driving forces issues as follows:
Now, I am willing to use this simulation model step by step instead of FDM as follows:
You can review the continuation of this article on my blow as follows:
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