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

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
Fuzzy Logic and Soft Computing Applications
270
280
Luca, Barzanti; Silvio, Giove; Alessandro, Pezzi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/615563
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