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A Decision Support System for Non Profit Organizations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10147))

Abstract

A crucial activity of Non Profit Organizations (NPO’s) is the fund raising management, by which Organizations sustain the achievement of their mission. In this context, the development of a structured Decision Support Systems (DSS) is becoming increasingly important. The process of fund raising is very complex and in part different in function of the characteristics of the considered Organization. Recently for the medium-sized Associations a model has been developed, which explicitly considers the specificities of this kind of NPO’s in order to optimize the fund raising process and the related algorithm. In this contribution, we enhance and complete this model by considering a fuzzy approach for the donor’s ranking and a simple cost function with the aim to evaluate if the preset campaign target is reached. Moreover, we implement an effective DSS (FS) and we show the results obtained with a properly simulated large Data Base (DB), by analyzing the achieved computational results.

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Notes

  1. 1.

    This cost depends on the type of contact, like e-mail, normal mail, direct contact, etc.

  2. 2.

    This simplified approach is partially justified by the fact that usually a limited gift variability characterized a single donor.

  3. 3.

    The contact cost depends on the type of contact, see [2], but in this contribution we suppose only one type of contact.

  4. 4.

    If \(f_i(t-w,t)<f_i(t_0,t)\) we affirm the presence of a coldness effect, conversely the donor becomes more generous.

  5. 5.

    In the line of principle, given that all the donors attitude to gift is represented by binomial distribution, the probability to reach the target could be computed. But with different probabilities and gift values, this problem is NP-hard.

  6. 6.

    As for the ordered score it holds: \(P_{(1)}(t) \le P_{(2)}(t) \le ...\le P_{(N)}(t)\}\) and \(V_{(1)}(t) \le V_{(2)}(t) \le ...\le V_{(N)}(t)\).

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Barzanti, L., Giove, S., Pezzi, A. (2017). A Decision Support System for Non Profit Organizations. In: Petrosino, A., Loia, V., Pedrycz, W. (eds) Fuzzy Logic and Soft Computing Applications. WILF 2016. Lecture Notes in Computer Science(), vol 10147. Springer, Cham. https://doi.org/10.1007/978-3-319-52962-2_24

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  • DOI: https://doi.org/10.1007/978-3-319-52962-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52961-5

  • Online ISBN: 978-3-319-52962-2

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