A Fuzzy Risk Assessment in Software Development Defuzzified by Signed Distance

Authors:
Huey-Ming Lee;Lily Lin
Affiliations:
Department of Information Management, Chinese Culture University, Taipei, Taiwan (11114);Department of International Business, China University of Technology, Taipei, Taiwan (116)
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

Citing 9
Cited 0

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Abstract

In this paper, we present computational rule inferences to tackle the rate of aggregative risk in fuzzy circumstances. Based on the maximum membership grade principle, we apply the signed distance to defuzzify which is better than by the centroid. The proposed fuzzy assessment method is easier, closer to evaluator real thinking and more useful than the ones which have presented before.