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If you prefer to evaluate suitability within a range, rather than use binary membership terms of 0 or 1, you can use fuzzy multiple criteria decision-making (FMCDM) to do that. With FMCDM you can evaluate all the same types of problems as you would with MCDM. The term fuzzy refers to the fact that the criteria being used to evaluate alternatives offer a range of acceptability — instead of the binary, crisp set criteria associated with traditional MCDM. Evaluations based on fuzzy criteria lead to a range of potential outcomes, each with its own level of suitability as a solution.

One important feature of FMCDM: You’re likely to have a list of several fuzzy criteria, but these criteria might not all hold the same importance in your evaluation. To correct for this, simply assign weights to criteria to quantify their relative importance.