On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
k-order additive discrete fuzzy measures and their representation
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Aggregation operators for soft decision making in water resources
Fuzzy Sets and Systems - Special issue on soft decision analysis
Modelling decision making in fund raising management by a fuzzy knowledge system
Expert Systems with Applications: An International Journal
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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. © 2012 Wiley Periodicals, Inc.