AHP Decision making example - choosing a car with the Analytic Hierarchy Process (AHP Software)
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Learn how to apply the Analytic Hierarchy Process for choosing a Car based on some criteria. A step-by-step guide to model the Analytic Hierarchy Process using the SpiceLogic AHP Software, which also applies to Rational Will. SpiceLogic AHP Software (or Rational WIll) is an advanced decision analysis software that will let you model the AHP and solve the model using Eigenvector, Geometric Mean, or Fuzzy Geometric mean. Also, visually learn about Consistency Ratio and Transitivity Rules, all from this presentation.
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I have a collection of 70 responses , so do I need to create AHP of each response
@emran.hussain
Жыл бұрын
Hi Ritu, you need to create a project template with your model and send the template to all of your participants. Then, they will save their answers and the AHP project in a shared location or they will send the AHP project files to you. Then, you can aggregate all the responses in a group decision panel. Here is a tutorial video of group decision-making. kzread.info/dash/bejne/aJyDtLOJmKXViqw.html
Hi, I want to know whether your AHP software supports fuzzy scale inputs?
@spicelogic
6 ай бұрын
The software supports 9 point scale input where each point is a fuzzy term.
@matsersilvaworld5224
6 ай бұрын
@@spicelogicThank you for the reply. Can you please explain the method "Fuzzy Geometric Mean"? When should we use this method?
@spicelogic
6 ай бұрын
@@matsersilvaworld5224 The 'Fuzzy Geometric Mean' method in the Analytic Hierarchy Process (AHP) is highly effective in scenarios where decision-making is clouded by uncertainty or when the information at hand is imprecise. This approach is particularly valuable when there is a significant divergence in expert opinions, or when the data available is incomplete or ambiguous. It excels in navigating the often vague and ambiguous nature of human judgments. For instance, consider a situation where you need to decide between Criteria A and Criteria B. If you believe Criteria A is more important than Criteria B, but you're not exactly sure to what extent - it might be slightly more important, or it could be significantly more important - this is where the Fuzzy method shines. It allows for flexibility in accounting for this range of uncertainty in your judgment, unlike standard methods that require more precise numerical ratios. In essence, the Fuzzy Geometric Mean method is your go-to choice when dealing with these kinds of ambiguities, making it ideal for complex and nuanced decision-making scenarios.
@matsersilvaworld5224
6 ай бұрын
@@spicelogic Thank you for the detailed explanation. So if we use this method, basically we are doing fuzzy AHP analysis. Is there a way to produce pairwise comparison matrix using 3 fuzzy values as output ?
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