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» On the Accuracy of Type-2 Fuzzy Sets
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FUZZIEEE
2007
IEEE
13 years 9 months ago
A Vector Similarity Measure for Interval Type-2 Fuzzy Sets
Fuzzy logic is frequently used in computing with words (CWW). When input words to a CWW engine are modeled by interval type-2 fuzzy sets (IT2 FSs), the CWW engine's output can...
Dongrui Wu, Jerry M. Mendel
FOCI
2007
IEEE
14 years 2 days ago
Cardinality, Fuzziness, Variance and Skewness of Interval Type-2 Fuzzy Sets
Abstract— Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (IT2 FS) because they are all measures of uncertaint...
Jerry M. Mendel, Dongrui Wu
ICPR
2004
IEEE
14 years 6 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
ISCI
2007
116views more  ISCI 2007»
13 years 5 months ago
Advances in type-2 fuzzy sets and systems
In this state-of-the-art paper, important advances that have been made during the past five years for both general and interval type-2 fuzzy sets and systems are described. Inter...
Jerry M. Mendel
TFS
2011
242views Education» more  TFS 2011»
13 years 21 days ago
Linguistic Summarization Using IF-THEN Rules and Interval Type-2 Fuzzy Sets
—Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries li...
Dongrui Wu, Jerry M. Mendel