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EAAI
2006
161views more  EAAI 2006»
15 years 2 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan
FOCI
2007
IEEE
15 years 8 months ago
Why Intervals? Why Fuzzy Numbers? Towards a New Justification
The purpose of this paper is to present a new characterization of the set of all intervals (and of the corresponding set of fuzzy numbers). This characterization is based on sever...
Vladik Kreinovich
ISCI
2008
96views more  ISCI 2008»
15 years 1 months ago
Fuzzy age-dependent replacement policy and SPSA algorithm based-on fuzzy simulation
An increase in the performance of deteriorating systems can be achieved through the adoption of suitable maintenance policies. One of the most popular maintenance policies is the ...
Jiashun Zhang, Ruiqing Zhao, Wansheng Tang
BPM
2009
Springer
195views Business» more  BPM 2009»
15 years 8 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
15 years 8 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao