We propose a knowledge based decision support system for fund raising management, which uses fuzzy logic to evaluate the most promising strategies. Our approach exploits economic modelling and operational results, which stress that donors' profiles affect the probability of giving, allowing a more efficient management of the information on potential donors, and improving current approac hes. The first experiments show that knowledge based systems are particularly suitable to solve this class of problems both for their ability to manage also qualitative and uncertain information, and to explicitly represent the knowledge of the fund raiser. The results, obtained with simulated data, show the effectiveness of the proposed approach.

Decision Making in Fund Raising Management: a Knowledge Based Approach

BARZANTI, LUCA;GASPARI, MAURO
2007

Abstract

We propose a knowledge based decision support system for fund raising management, which uses fuzzy logic to evaluate the most promising strategies. Our approach exploits economic modelling and operational results, which stress that donors' profiles affect the probability of giving, allowing a more efficient management of the information on potential donors, and improving current approac hes. The first experiments show that knowledge based systems are particularly suitable to solve this class of problems both for their ability to manage also qualitative and uncertain information, and to explicitly represent the knowledge of the fund raiser. The results, obtained with simulated data, show the effectiveness of the proposed approach.
2007
Applications and Innovations in Intelligent Systems
189
201
L. Barzanti; N. Dragoni; A. Degli Esposti; M. Gaspari
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/52098
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