Results 271 to 280 of about 3,238,240 (320)

Application of L-fuzzy sets in m-ary semigroups

Journal of Intelligent & Fuzzy Systems, 2018
In this paper, applying the theory of L-fuzzy sets, we introduce the concept of an L-fuzzy ideal (L-fuzzy k-ideal) of an m-ary semigroup. Some properties of them are investigated and some structural theorems for L-fuzzy ideals (L-fuzzy k-ideals) of m-ary
Shkelqim Kuka, K. Hila, Krisanthi Naka
semanticscholar   +1 more source

Inverse Optimal Design of Direct Adaptive Fuzzy Controllers for Uncertain Nonlinear Systems

IEEE transactions on fuzzy systems, 2021
Optimized performance obtained from existing adaptive fuzzy optimal control methods comes at the cost of a intricate design procedure and a heavy computation of online parameter learning, and it is an under-explored problem on how to remove such a ...
Kaixin Lu, Zhi Liu, C. L. Chen, Yaonan Wang, Yun Zhang   +4 more
semanticscholar   +1 more source

On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier

IEEE transactions on fuzzy systems, 2019
The fuzzy $k$-nearest neighbor classifier (F$k$NN) improves upon the flexibility of the $k$-nearest neighbor classifier by considering each class as a fuzzy set and estimating the membership of an unlabeled data instance for each of the classes. However,
I. Banerjee, S. S. Mullick, Swagatam Das
semanticscholar   +1 more source

Convex fuzzy k-medoids clustering

Fuzzy Sets Syst., 2019
K-medoids clustering is among the most popular methods for cluster analysis despite its use requiring several assumptions about the nature of the latent clusters. In this paper, we introduce the Convex Fuzzy k-Medoids (CFKM) model, which not only relaxes
Daniel Nobre Pinheiro, D. Aloise, Simon J. Blanchard   +2 more
semanticscholar   +1 more source

IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering

IEEE Transactions on Cybernetics
The graph-information-based fuzzy clustering has shown promising results in various datasets. However, its performance is hindered when dealing with high-dimensional data due to challenges related to redundant information and sensitivity to the ...
Zhaoyin Shi, Long Chen, Weiping Ding, Xiaopin Zhong, Zongze Wu, Guang-Yong Chen, Chuanbin Zhang, Yingxu Wang, C. L. P. Chen   +8 more
semanticscholar   +1 more source

The combined use of self-organizing map technique and fuzzy c-means clustering to evaluate urban groundwater quality in Seoul metropolitan city, South Korea

Journal of Hydrology, 2019
To make an overall assessment of the groundwater quality in Seoul city, we used the self-organizing map (SOM) technique in combination with fuzzy c-means (FCM) clustering.
Kyung-Jin Lee, S. Yun, Soonyoung Yu, K. Kim, Ju Hee Lee, Seung-hwi Lee, Seung-hwi Lee   +6 more
semanticscholar   +1 more source

Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction

IEEE transactions on fuzzy systems, 2020
Fuzzy rough theory can describe real-world situations in a mathematically effective and interpretable way, while evolutionary neural networks can be utilized to solve complex problems.
Bin Cao, Jianwei Zhao, Zhihan Lv, Yu Gu, Peng Yang, S. Halgamuge   +5 more
semanticscholar   +1 more source

Integrated Rough Fuzzy Clustering for Categorical data Analysis

Fuzzy Sets Syst., 2019
In recent times, advanced data mining research has been mostly focusing on clustering of categorical data, where a natural ordering in attribute values is missing.
Indrajit Saha, Jnanendra Prasad Sarkar, U. Maulik   +2 more
semanticscholar   +1 more source

Intelligent temporal classification and fuzzy rough set-based feature selection algorithm for intrusion detection system in WSNs

Information Sciences, 2019
At present, Internet-based information processing systems are challenged by different kinds of threats, which lead to various types of damages that in turn result in significant loss of information in Wireless Sensor Networks (WSNs). Moreover, the stream
K. Selvakumar, Marimuthu Karuppiah, L. S. Ramesh, S. H. Islam, Mohammad Mehedi Hassan, G. Fortino, K. Choo   +6 more
semanticscholar   +1 more source

Interval valued q-rung orthopair fuzzy sets and their properties

Journal of Intelligent & Fuzzy Systems, 2018
Yager [1] introduced the concept of q-rung orthopair fuzzy sets (q-ROFSs) in which the sum of the qth exponent of the support for membership and the qth exponent of the support against membership is bounded by one.
B. Joshi, Akhilesh Singh, P. Bhatt, K. S. Vaisla   +3 more
semanticscholar   +1 more source