Results 11 to 20 of about 20,611,816 (251)
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +5 more sources
On-line identification of MIMO evolving Takagi-Sugeno fuzzy models [PDF]
Evolving Takagi-Sugeno (eTS) fuzzy models and the method for their on-line identification has been recently introduced as an effective tool for design of flexible system models with minimum a priori information.
Angelov, Plamen, Xydeas, C, Filev, D
core +4 more sources
L-FUZZY (K,E)-SOFT CLOSURE OPERATORS INDUCED BY L-FUZZY (K,E)-SOFT QUASI-UNIFORM SPACES [PDF]
In this paper, we investigate two L-fuzzy (K,E)-soft closure operators induced by an L-fuzzy (K,E)-soft quasi-uniform space in a complete residuated lattice L. We study the relations among L-fuzzy (K,E)-soft topology, L-fuzzy (K,E)-soft closure operators and L-fuzzy (K,E)-soft quasi-uniformities. Finally, we give their examples.
J.M. Ko, J.-M. Oh
openaire +1 more source
Martingale Convergence Theorem for the Conditional Intuitionistic Fuzzy Probability
For the first time, the concept of conditional probability on intuitionistic fuzzy sets was introduced by K. Lendelová. She defined the conditional intuitionistic fuzzy probability using a separating intuitionistic fuzzy probability.
Katarína Čunderlíková
doaj +1 more source
Support-Neutrosophic Set: A New Concept in Soft Computing [PDF]
Today, soft computing is a field that is used a lot in solving real-world problems, such as problems in economics, finance, banking. With the aim to serve for solving the real problem, many new theories and/or tools which were proposed, improved to help ...
Nguyen Xuan Thao +2 more
doaj +1 more source
Underwater Image Enhancement Algorithm Based on Attenuation Compensation and Histogram Stretching [PDF]
The complex and changeable underwater physical environment leads to the color distortion, low contrast and fuzzy details of the acquired underwater image, which affects the accuracy of underwater scene detection.An underwater image enhancement algorithm ...
LI Li, WANG Xinqiang, YIN Shan
doaj +1 more source
(K,E)-SOFT TOPOLOGIES AND L-FUZZY (K,E)-SOFT NEIGHBORHOOD SYSTEMS [PDF]
In this paper, we define a (K,E)-soft topology in stsc-quantales. We investigate the relations between (K,E)-soft topologies and L-fuzzy (K,E)-soft neighborhood systems. We give their examples.
Y.C. Kim, A.A. Ramadan
openaire +1 more source
In this paper, we present some weakly compatible and quasi-contraction results for self-mappings in fuzzy cone metric spaces and prove some coincidence point and common fixed point theorems in the said space.
Shamoona Jabeen +3 more
doaj +1 more source
On Another Type of Convergence for Intuitionistic Fuzzy Observables
The convergence theorems play an important role in the theory of probability and statistics and in its application. In recent times, we studied three types of convergence of intuitionistic fuzzy observables, i.e., convergence in distribution, convergence
Katarína Čunderlíková
doaj +1 more source
(K,E)-SOFT UNIFORMITIES AND L-FUZZY (K,E)-SOFT NEIGHBORHOOD SYSTEMS [PDF]
In this paper, we define (K,E)-soft uniformities in complete residuated lattices. We investigate the relations among (K,E)-soft uniformities, (K,E)soft topologies and L-fuzzy (K,E)-soft neighborhood systems. We give their examples.
Y.C. Kim, A.A. Ramadan
openaire +1 more source

