DocumentCode :
3121333
Title :
A theoretical approach to Liu´s generalized Lambda-fuzzy measure
Author :
Liu, Hsiang-chuan ; Liu, Tung-sheng
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
356
Lastpage :
363
Abstract :
λ-measure, P-measure, additive measure and B-measure are four well known fuzzy measure, all of them are univalent fuzzy measure with only one formulaic fuzzy measure solution. In this paper, first of all, it is proved that both λ-measure and additive measure are larger than P-measure and less than B-measure, in other words, both λ-measure and additive measure are never equal to the smallest fuzzy measure, P-measure and the largest fuzzy measure, B-measure. Furthermore, a novel multivalent fuzzy measure with infinitely many fuzzy measure solutions based on λ-measure, called a generalized λ-measure, is proposed. It is proved that the measure function of this new measure is continuous and increasing on λ, each different λ value corresponding different fuzzy measure, from the smallest fuzzy measure, P-measure to the largest fuzzy measure, B-measure, and containing λ-measure itself, in other words, all of above four univalent fuzzy measures are special cases of this new fuzzy measure. Moreover, this new generalized λ-measure is also satisfying the monotone condition rather than the old generalized λ-measure proposed by L.-Z. Yang, M.-H. Ha, X.-J. Wang and Z.-R. Zhang. However, the old one is just the λ-measure without the monotone condition. It is a generalized measure but no more a fuzzy measure. Hence, this new and true generalized fuzzy measure is called Liu´s generalized λ-measure. Some properties about this new measure are also discussed.
Keywords :
fuzzy set theory; B- measure; Liu generalized lambda fuzzy measure; P-measure; additive measure; multivalent fuzzy measure; univalent fuzzy measure; Additives; Bioinformatics; Conferences; Density functional theory; Density measurement; Educational institutions; Predictive models; λ-measure; B-measure; L-measure; Liu´s generalized λ-measure; P-measure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007548
Filename :
6007548
Link To Document :
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