Towards More Human Consistent Reasoning via Intuitionistic Fuzzy Sets
Intuitionistic fuzzy sets (Atanassov , ), due to of an additional degree of freedom, can be viewed as a generalization of fuzzy sets. The additional degree of freedom makes a better modelling of imperfect information possible. We propose the me of intuitionistic fuzzy sets for a more human consistent reasoning under imprecise knowledge. An example of a medical database is considered. Employing intuitionistic fuzzy sets, we can express a hesitation concerning both the patients and illnesses. An illness for each patient is found by looking for the smallest distance [cf. Szmidt and Kacprzyk , ] between symptoms that are characteristic for a patient, and symptoms describing illnesses. Our new approach can help avoid drawbacks of the max-min-max rule that is usually employed [cf. De, Biswas and Roy ].
KeywordsImperfect Information Fuzzy Relation Fuzzy Preference Relation Fuzzy Relation Equation Stomach Problem
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