Feature selection with harmony search
Many search strategies have been exploited for the task of feature selection (FS), in an effort
to identify more compact and better quality subsets. Such work typically involves the use of …
to identify more compact and better quality subsets. Such work typically involves the use of …
Medical data classification using interval type-2 fuzzy logic system and wavelets
This paper introduces an automated medical data classification method using wavelet
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …
Teaching performance evaluation by means of a hierarchical multifactorial evaluation model based on type-2 fuzzy sets
L Zhou, H Li, K Sun - Applied Intelligence, 2017 - Springer
Teaching performance evaluation plays an important role in the management of education
institutions. In this process, the relevant factors may be complicated and various, it is difficult …
institutions. In this process, the relevant factors may be complicated and various, it is difficult …
Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction
Abstract Neural networks (NNs), type-1 fuzzy logic systems and interval type-2 fuzzy logic
systems (IT2FLSs) have been shown to be important methods in real world applications …
systems (IT2FLSs) have been shown to be important methods in real world applications …
Granular computing, computational intelligence, and the analysis of non-geometric input spaces
L Livi, A Sadeghian - Granular Computing, 2016 - Springer
Data granulation emerged as an important paradigm in modeling and computing with
uncertainty, exploiting information granules as the main mathematical constructs involved in …
uncertainty, exploiting information granules as the main mathematical constructs involved in …
Noninteracting adaptive control of PMSM using interval type-2 fuzzy logic systems
S Barkat, A Tlemçani, H Nouri - IEEE Transactions on Fuzzy …, 2011 - ieeexplore.ieee.org
Based on the type-2 fuzzy logic systems and adaptive control theory, this paper develops a
decentralized adaptive fuzzy controller for a permanent magnet synchronous motor (PMSM) …
decentralized adaptive fuzzy controller for a permanent magnet synchronous motor (PMSM) …
Toward a framework for capturing interpretability of hierarchical fuzzy systems—a participatory design approach
Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve the
interpretability of fuzzy logic systems (FLSs). However, challenges remain, such as “How …
interpretability of fuzzy logic systems (FLSs). However, challenges remain, such as “How …
An evolving interval type-2 neurofuzzy inference system and its metacognitive sequential learning algorithm
AK Das, K Subramanian… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we propose an evolving interval type-2 neurofuzzy inference system (IT2FIS)
and its fully sequential learning algorithm. IT2FIS employs interval type-2 fuzzy sets in the …
and its fully sequential learning algorithm. IT2FIS employs interval type-2 fuzzy sets in the …
A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles
Hybrid electrical vehicles combine two or more energy sources (at least one electrical) to
benefit from their different characteristics regarding autonomy, reversibility and dynamic …
benefit from their different characteristics regarding autonomy, reversibility and dynamic …
Multi-objective based Fuzzy Rule Based Systems (FRBSs) for trade-off improvement in accuracy and interpretability: A rule relevance point of view.
Fuzzy rule-based systems (FRBSs) are a common alternative for applying fuzzy logic in
different areas and real-world problems. The schemes and algorithms used to generate …
different areas and real-world problems. The schemes and algorithms used to generate …