Abstract
This paper summarizes basic properties of graded logic – a natural soft computing generalization of classical Boolean logic. Using graded logic aggregators we can build evaluation criteria and apply them in decision engineering. This paper is an extended summary that surveys key concepts of graded logic and graded logic aggregation.
The original version of this chapter has been revised: Minor errors in the text have been corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-00202-2_26
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Change history
15 November 2018
The original versions of chapters “Graded Logic Aggregation” and “Implicative Weights as Importance Quantifiers in Evaluation Criteria” have been revised; minor errors in the text have been corrected at the request of the author.
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Dujmović, J. (2018). Graded Logic Aggregation. In: Torra, V., Narukawa, Y., Aguiló, I., González-Hidalgo, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2018. Lecture Notes in Computer Science(), vol 11144. Springer, Cham. https://doi.org/10.1007/978-3-030-00202-2_1
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DOI: https://doi.org/10.1007/978-3-030-00202-2_1
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