Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/44173
Title: Modeling funding allocation problems via AHP-fuzzy TOPSIS
Authors: Ignatius, J.
Mustafa, A.
Goh, M. 
Keywords: AHP
Decision analysis
Fuzzy TOPSIS
Group-decision making
Linguistic modeling
Multiple criteria
Issue Date: 2012
Source: Ignatius, J.,Mustafa, A.,Goh, M. (2012). Modeling funding allocation problems via AHP-fuzzy TOPSIS. International Journal of Innovative Computing, Information and Control 8 (5 A) : 3329-3340. ScholarBank@NUS Repository.
Abstract: This paper treats the project funding allocation problem using a combination of AHP and fuzzy TOPSIS: one which occurs when the subjects of evaluation are provided a chance to agree on the intensity and importance of the criteria while the assessment is treated by a separate set of evaluators or decision makers (DMs). The assumptions made are similar to a double blind review process; that is, the identities of both parties (evaluators and subjects) are only known to the facilitator, and the evaluators are allowed to provide ratings in linguistic terms (e.g., 'poor', 'good', 'very good'). This paper provides a novel integration and an unbiased method in reaching a transparent decision making outcome for the funding allocation of projects. The differences in implementation between the AHP-fuzzy TOPSIS and other similar applications are discussed. Finally, the evaluation process is illustrated with values derived from a university resource allocation exercise. ©2012 ICIC International.
Source Title: International Journal of Innovative Computing, Information and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/44173
ISSN: 13494198
Appears in Collections:Staff Publications

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