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

Luca, B., Silvio, G., Alessandro, P. (2017). A Decision Support System for Non Profit Organizations. Cham : Springer [10.1007/978-3-319-52962-2_24].

A Decision Support System for Non Profit Organizations

Luca Barzanti;Alessandro Pezzi
2017

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
2017
Fuzzy Logic and Soft Computing Applications
270
280
Luca, B., Silvio, G., Alessandro, P. (2017). A Decision Support System for Non Profit Organizations. Cham : Springer [10.1007/978-3-319-52962-2_24].
Luca, Barzanti; Silvio, Giove; Alessandro, Pezzi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/615563
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 2
social impact