Abstract
The problems of possibilistic linear programming are studied in the article. Unlike in other known related publications, t-norms are used to describe the interaction (relatedness) of fuzzy parameters. Solution methods are proposed, models of possibilistic optimization are compared for different t-norms.
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Yazenin, A., Soldatenko, I. (2010). Possibilistic Optimization Tasks with Mutually T-Related Parameters: Solution Methods and Comparative Analysis. In: Lodwick, W.A., Kacprzyk, J. (eds) Fuzzy Optimization. Studies in Fuzziness and Soft Computing, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13935-2_8
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DOI: https://doi.org/10.1007/978-3-642-13935-2_8
Publisher Name: Springer, Berlin, Heidelberg
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