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» On interval fuzzy negations
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FSKD
2006
Springer
203views Fuzzy Logic» more  FSKD 2006»
15 years 4 months ago
An Interval Semi-absolute Deviation Model For Portfolio Selection
Interval number is a kind of special fuzzy number and the interval approach is a good method to deal with some uncertainty. The semi-absolute deviation risk function is extended to...
Yong Fang, Shouyang Wang
112
Voted
WILF
2005
Springer
96views Fuzzy Logic» more  WILF 2005»
15 years 5 months ago
Imprecise Temporal Interval Relations
Abstract. When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper we propose a representation for 13 relation...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
TFS
2008
77views more  TFS 2008»
15 years 8 days ago
Nonstationary Fuzzy Sets
In this paper, the notion termed a "nonstationary fuzzy set" is introduced, and the concept of a perturbation function that is used for generating nonstationary fuzzy set...
Jonathan M. Garibaldi, Marcin Jaroszewski, Salang ...
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
104
Voted
EUSFLAT
2009
212views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
An Interval Type-2 Fuzzy Distribution Network
Abstract-- Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribu...
Simon Miller, Viara Popova, Robert John, Mario A. ...