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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 534))

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Abstract

The paper presents notion of horizontal membership function (HMF) and based on it fuzzy, relative distance measure (fuzzy RDM) arithmetic that is compared with standard fuzzy arithmetic (SF arithmetic). Fuzzy RDM-arithmetic possess such mathematical properties which allow for achieving complete fuzzy solution sets of problems, whereas SF-arithmetic, in general, delivers only approximate, partial solutions and sometimes no solutions of problems. The paper explains how to realize arithmetic operations with fuzzy RDM-arithmetic and shows examples of its application.

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Correspondence to Andrzej Piegat .

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Piegat, A., Landowski, M. (2017). On Fuzzy RDM-Arithmetic. In: Kobayashi, Sy., Piegat, A., PejaÅ›, J., El Fray, I., Kacprzyk, J. (eds) Hard and Soft Computing for Artificial Intelligence, Multimedia and Security. ACS 2016. Advances in Intelligent Systems and Computing, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-48429-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-48429-7_1

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