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» Fuzzy Clustering Based on Total Uncertainty Degree
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RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
13 years 10 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
IFSA
2007
Springer
158views Fuzzy Logic» more  IFSA 2007»
13 years 11 months ago
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees
Abstract. Generally, there are two main streams of theories for studying uncertainties. One is probability theory and the other is fuzzy set theory. One of the basic ideas of fuzzy...
Zengchang Qin, Jonathan Lawry
FSS
2008
113views more  FSS 2008»
13 years 5 months ago
Consistency measure, inclusion degree and fuzzy measure in decision tables
Classical consistency degree has some limitations for measuring the consistency of a decision table, in which the lower approximation of a target decision is only taken into consi...
Yuhua Qian, Jiye Liang, Chuangyin Dang
UAI
2003
13 years 6 months ago
On revising fuzzy belief bases
We look at the problem of revising fuzzy belief bases, i.e., belief base revision in which both formulas in the base as well as revision-input formulas can come attached with varyi...
Richard Booth, Eva Richter
EUSFLAT
2009
153views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A Type-2 Fuzzy Portfolio Selection Problem Considering Possibility Measure and Crisp Possibilistic Mean Value
This paper considers a portfolio selection problem with type-2 fuzzy future returns involving ambiguous and subjectivity. Since this proposed problem is not well-defined due to fuz...
Takashi Hasuike, Hiroaki Ishii