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Fuzzy Sets for Multicriteria Optimization

 

The Maximization and Minimization Membership Functions

The transformations used in the MultiSimplex software to create membership functions for maximization problems, minimization of  is e quivalent to maximization of , are expressed as:

Where

 

  • Ymin is the low limit for acceptable values of Yi.
  • Ymax is the value above, which a further increase is without significance.
  • R is a constant that can take different values.

 

All responses where the objective is maximization or minimization can be transformed, compared and combined using these membership functions. By changing the constant R it is possible to specify many different membership functions. Values of R above 1.0 will result in a slow increase from the unacceptable limit and fast near the high limit. If the constant R has the value 1.0, the function will be strictly proportional between the limits. Values of R below 1.0 will result in a fast increase from the unacceptable limit and slow near the high limit.

The shape of the maximization membership function with different values of the constant R.

  1. Creating a Joint Response
  2. Membership and Influence
  3. The Target Functions
  4. The Aggregated Value of Membership
Back to Optimization Methods Introduction
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