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An Extensional Signed Lambda-fuzzy Measure Based on Signed Monotonicity

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1 Author(s)
Hsiang-Chuan Liu ; Dept. of Bioinf. & Med. Inf., Asia Univ., Wufeng, Taiwan

In this paper, first of all, for generalizing the notion of monotonicity, a most important key word, called signed monotonicity, is proposed, it is a generalization of not only the non-negative monotonicity but also the revised monotonicity, furthermore, the signed measure satisfying signed monotonicity, called a generalized signed fuzzy measure, is also proposed. It is proved that this new measure is a generalization of not only the non-negative fuzzy measure but also the signed fuzzy measure, and the well-known signed additive measure is not only a signed fuzzy measure but also a generalized signed fuzzy measure, moreover, the author points out that the signed measure satisfying Lambda-rule , called generalized Lambda-measure is not a signed fuzzy measure and generalized signed fuzzy measure, since it does not satisfy the revised monotonicity and signed monotonicity. At last, a new signed measure satisfying signed monotonicity based on Sugeno's Lambda-measure, called extensional sign Lambda-fuzzy measure is also proposed, it is a generalized signed fuzzy measure and more useful than above mentioned signed measures based on Lambda-measure for using to analysis multi-criteria decision making problem, since the multi-criteria decision making problem needs to consider the signed monotoniccity. Some related properties are also discussed.

Published in:

Technologies and Applications of Artificial Intelligence (TAAI), 2010 International Conference on

Date of Conference:

18-20 Nov. 2010