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A decision support system for fund raising management based on the Choquet integral methodology
Author(s) -
Barzanti Luca,
Giove Silvio
Publication year - 2012
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2011.00601.x
Subject(s) - computer science , choquet integral , decision support system , raising (metalworking) , decision tree , profit (economics) , order (exchange) , fund raising , operations research , risk analysis (engineering) , data mining , artificial intelligence , fuzzy logic , business , finance , geometry , mathematics , engineering , higher education , political science , law , economics , microeconomics
The employment of a decision support system for optimizing fund raising strategies is crucial to the management of non‐profit organizations. Commonly considered methodologies utilize the organization's donor database in order to gather and analyse information. However, many organizations, especially small‐ and medium‐sized ones, do not own or efficiently manage a database, and consequently, the usual methods are inapplicable. In this paper, a decision support system is developed that is able to identify the most promising fund raising strategies on the basis of the organization's profile. The profile factors of a non‐profit organization are analysed and hierarchically organized in a decision tree in order to effectively employ the Choquet integral methodology, which is recommended in these kinds of multi‐criteria decision problems. The results obtained in the real operational context show the effectiveness of the proposed system.