Abstract
In conventional decision models, data and relationships for solution methods have to be deterministic or stochastic. Unfortunately this requirement is not realistic for many real world problems because the model-user has only vague ideas for the elements of the model. For example the amount of interest received for different alternatives within an investment decision problem is expressed by verbal descriptions like “very high”, “fair”, “more or less high” etc. Fuzzy set theory provides a framework for modeling such vagueness in decision problems.
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Hauke, W. (1998). Applications of the Extension Principle in Connection with Yager’s t-Norms. In: Operations Research Proceedings 1997. Operations Research Proceedings, vol 1997. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58891-4_45
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DOI: https://doi.org/10.1007/978-3-642-58891-4_45
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