Abstract
We present a multicriteria fuzzy system using gradual rules and fuzzy arithmetic. We first present a multicriteria problem and its solution for the case of precise information. Then we extend the model to treat pieces of information that may involve imprecision/vagueness. We show that the use of residuated implication operators, employed by gradual rules, coupled with similarity relations offer a better treatment of the problem than a Mamdani-like approach. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Sandri, S., Sibertin-Blanc, C., & Torra, V. (2007). A multicriteria fuzzy system using residuated implication operators and fuzzy arithmetic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4617 LNAI, pp. 57–67). Springer Verlag. https://doi.org/10.1007/978-3-540-73729-2_6
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