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Connections Between Granular Counts and Twofold Fuzzy Sets

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022)

Abstract

Twofold fuzzy sets model ill-known collections of objects, where, for each element of a given domain, both necessity and possibility degrees of membership are specified. It is proved that the cardinality of a twofold fuzzy set is equivalent to possibilistic granular count when the twofold fuzzy set is derived from a possibilistic assignment table. This result sheds light on the connections between twofold fuzzy sets and granular counts: in particular, it is possible to take interactivity into account when aggregating twofold fuzzy sets derived from a possibilistic assignment table.

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Notes

  1. 1.

    Henceforth, we assume the referential X to be finite.

  2. 2.

    From now on, the notation used in [9] will be used, in order to facilitate cross reading.

  3. 3.

    The conventions \(\min \emptyset =1\) and \(\max \emptyset =0\) are followed throughout the paper.

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Acknowledgments

The research is partially supported by Ministero dello Sviluppo Economico (MISE) under grant F/190030/01-03/X44 “LIFT”. C.M. is member of the INdAM Research group GNCS and CILA (Centro Interdipartimentale di Logica e Applicazioni).

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Correspondence to Corrado Mencar .

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Mencar, C., Dubois, D. (2022). Connections Between Granular Counts and Twofold Fuzzy Sets. In: Ciucci, D., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol 1602. Springer, Cham. https://doi.org/10.1007/978-3-031-08974-9_41

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  • DOI: https://doi.org/10.1007/978-3-031-08974-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08973-2

  • Online ISBN: 978-3-031-08974-9

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