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In 1996, Zadeh coined Computing With Words (CWWs) to be a methodology in which words are used instead of numbers for computing and reasoning. One of the main challenges which faced the CWWs paradigm has been modelling words adequately. Mendel has pointed out that the CWWs paradigm should employ type-2 fuzzy logic to model words. This paper proposes employing an Enhanced Interval Approach (EIA) to...
In this paper, the analytic formulation of the single input Fuzzy PID (FPID) controller output is derived to present an Internal Model Control (IMC) based design method. In this context, we have firstly derived the input- output relationship of the fuzzy controller and investigated the effect of the membership function (MF) parameters on the output of the Single input FPID (SFPID). Based the presented...
Environmental problems are complex in nature and are usually exacerbated by unsustainable trends that are driven by anthropogenic, economic and development factors. One of the key challenges of sustainability is the ability to examine the range of possible future paths of combined social and environmental conditions, under consideration of human perceptions, uncertainty and cause-effect factors, with...
On one hand, we are aware of the fact that quadrotors have been becoming a part of our daily life day to day; on the other hand, their control is still a challenging task as, unlike from the ground vehicles, they do not have enough friction forces to stabilize their motion. What is more, quadrotor's six DOF motion (three translational and three rotational) is controlled by varying only the speeds...
In utility based service industries with a large mobile workforce, there is a need to optimize the process of allocating engineers to tasks (i.e. fixing faults, installing new services, such as internet connections, gas or electricity etc.). Part of the process of optimizing the resource allocation to tasks involves finding the optimum area for an engineer to operate within, which we term as work...
Overlap functions are aggregation operators used in the overlap problem or when the associativity is not required. Residual implications derived from them (RO-implications) preserve the residuation property, and any overlap function O and the respective RO-implication form an adjoint pair, which is important in many applications. RO-implications are weaker than R-implications constructed from positive...
We introduce a novel adaptive neuro-fuzzy architecture based on the framework of Multiple Instance Fuzzy Inference. The new architecture called Multiple Instance-ANFIS (MI-ANFIS), is an extension of the standard Adaptive Neuro Fuzzy Inference System (ANFIS) [1] that is designed to handle reasoning with multiple instances (bags of instances) as input and capable of learning from ambiguously labeled...
E-learning is becoming increasingly more popular. However, for such platforms (where the students and tutors are geographically separated), it is necessary to estimate the degree of students' engagement with the course contents. Such feedback is highly important and useful for assessing the teaching quality and adjusting the teaching delivery in large-scale online learning platforms. When the number...
This paper focuses on the trajectory tracking control of the two-degree-of-freedom parallel manipulator. In order to have a robust tracking a fuzzy logic controller of which the boundary scales of the membership functions are optimized is developed. The performance of the developed optimized fuzzy logic controller is compared to the optimized proportional-integral-derivative controller. Particle swarm...
The increasing amount of available XML documents collections has led to the emergence of new challenges in information retrieval field. Therefore, multiple sources of evidence were used to retrieve XML elements at different levels of granularity. XML information retrieval combines textual and structural information to perform different information retrieval tasks. In this paper, we propose a new approach...
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GA) and its application on a traffic light system. FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing and forecasting. They are, essentially, ruled-based systems, in which the definition of these rules and fuzzy membership...
In this paper, an alternative stability analysis for the Levenberg-Marquardt (LM) algorithm is proposed for the training of Type-2 fuzzy neural networks (T2FNNs). The benefit of the proposed stability analysis is that it does not require any eigenvalues computations, and hence it is simpler when compared to the existing stability analysis studies in literature.
In this paper, an automatic seizure detection technique using multichannel EEG is proposed based on Metacognitive Complex-valued Interval Type-2 Fuzzy Inference System (McCIT2FIS). A wavelet chaos theory based feature extraction is employed to extract the features from EEG signal as it can handle the non stationarity in data and Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation...
One of the main objectives of ecology is to analyze, maintain, and enhance the bio-diversity of different ecosystems. To be able to do that, we need to gauge bio-diversity. Several semi-heuristic diversity indices have been shown to be in good accordance with the intuitive notion of bio-diversity. In this paper, we provide a theoretical justification for these empirically successful techniques. Specifically,...
In this paper an adaptive interval type-2 fuzzy sliding mode controller, which is applied to flexible air-breathing hypersonic vehicle (FAHV) longitudinal model, is designed based on interval type-2 fuzzy logic systems (IT2-FLS) and sliding mode control (SMC) theory. In order to get FAHV longitudinal model stably controlled, we decouple the model into velocity and altitude channels through output...
The potentials of non-singleton fuzzy logic systems (NSFLSs) in dealing with uncertainties are widely known. However, their utilities and possible challenges in real-world applications, particularly beyond fuzzy controls, are still not widely examined. This paper presents some user-centric design approaches in making NSFLSs usable in a real-world problem of environmental management. In previous work,...
Fuzzy ID3 algorithm is a widely studied classification algorithm in order to induce fuzzy decision trees. The structure of fuzzy decision trees combines the interpretability of the decision trees with the capability of fuzzy logic on uncertainty. The fuzzy inference procedure of fuzzy decision trees is a crucial manner for the classification problems. So, the choice of the aggregation operators for...
In this work, we discuss how the Lewinian model of experiential learning theory can be modeled in the framework of fuzzy logic. Fuzzy inference mechanism has been used to model the Lewinian model. Each stage of the Lewinian model has been modeled by appropriate step of a fuzzy inference mechanism.
Activity recognition is an important task which can be applied to many real-life problems in pervasive computing. In this work, we propose concurrent activities recognition system based on two layers of inference. The first layer develops a framework for dealing with fusion system through merging different sources of information using evidence theory. The second layer proposes a decision framework...
In this paper, we will present design methods for Single input IT2-FLCs (SIT2-FLCs) and we will introduce an online tuning mechanism to enhance their control system performance. The most important feature of the SIT2-FLC is the closed form output presentation which is defined in a two dimensional domain. Based on this structural information, we will present design methods for SIT2-FLCs composed of...
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