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A robust adaptive type-2 fuzzy logic controller is designed for the longitudinal dynamics of a flexible air-breathing hypersonic vehicle. The aircraft's pitch motion and flexible vibration are strongly coupled explicitly in the dynamic equations. The throttle setting is designed to control the velocity by dynamic inversion control method. The elevator deflection is designed to stabilize the pitch...
The paper proposes a novel non-homogeneity measure based kernelized image segmentation algorithm for noisy images. Every 3×3 neighbourhood of every single pixel is considered for generating localized spatial domain non-homogeneity measures for every individual window. Then these spatial domain non-homogeneity measures are converted into fuzzy domain non-homogeneity coefficients by aggregating the...
The goal in group decision making is to ensure that the best decision is made with respect to the available information and knowledge possessed by all group members. However, different types of uncertainty may influence both the assessment of the individual views and the derivation of the overall group-level solution. The difficulty in such decision-making may escalate if the views of all individuals...
Aggregation operators are useful tools which summarise multiple inputs to a single output. In practice, inputs to such operators are variables which represent different criteria, measurements, or opinions from experts. In this paper, a nearest neighbour-guided induced OWA operator, abbreviated as fcNN-IOWA, is proposed as a special case of the generic induced OWA where the input arguments are ordered...
In this paper we introduced the concept of three-dimensional triangular fuzzy number and their properties are investigated. It is shown that this set has important metrical properties, e.g convexity. The paper also provides a rotation method for such numbers based on quaternion and aggregation operator.
In the field of marketing, a questionnaire is one of the most important approaches in order to research the market or to design a marketing strategy. On the other hand, people have a variety of individuality recently, then respondents have various impressions on evaluation objects. In the analysis of collected questionnaire data, it is important not only to analyze overall trends but also to discover...
With the advance of computing and electronic technology, quantitative data, for example, continuous data (i.e., sequences of floating point numbers), become vital and have wide applications, such as for analysis of sensor data streams and financial data streams. However, existing association rule mining generally discover association rules from discrete variables, such as boolean data (‘O’ and ‘l’)...
In this paper, a fuzzy controller design problem for continuous perturbed nonlinear stochastic systems with state multiplicative noises is investigated. In order to simultaneously achieve variance and passivity constrained performances, some sufficient conditions are derived based on the Lyapunov theory. These sufficient conditions are in term of the linear matrix inequality forms that can be solved...
Increase of the offshore industrial activities is highly affecting marine milieu. For example, discharge of liquid petroleum on water surface, oil spill, frequently happens because of the offshore well vessels failure or transportation accidents. Numerous occurrences of the oil spills are obvious examples of affecting ecology by industrialization. Therefore, information about the exact location and...
This paper presents a hierarchical fuzzy sliding mode control scheme for a class of uncertain nonlinear under-actuated systems. First, the sliding surface of one subsystem is selected as the first layer sliding surface. Hence, we further construct a second layer sliding surface from the first layer sliding surface and the sliding surface of another subsystem till all the subsystem sliding surfaces...
Short text semantic similarity (STSS) measures are algorithms designed to compare short texts and return a level of similarity between them. However, until recently such measures have ignored perception or fuzzy based words (i.e. very hot, cold less cold) in calculations of both word and sentence similarity. Evaluation of such measures is usually achieved through the use of benchmark data sets comprising...
In this paper, we investigate the stability of polynomial fuzzy-model-based (PFMB) control systems, aiming to relax stability conditions by considering the information of membership functions. To facilitate the stability analysis, we propose a general form of approximated membership functions, which is implemented by Taylor series expansion. Taylor series membership functions (TSMF) can be brought...
In this paper, we propose a four-way procedure to estimate missing preference values when dealing with acceptable incomplete fuzzy preference relations (IFPRs). The proposed revised procedure can estimate more missing elements in the first iteration and also has more advantages than the existing methods. An illustrative example and comparative analyses are offered to demonstrate the advantages of...
Werewolf is one of the popular communication games all over the world. It treats ambiguity of human discussion including the utterances, gestures and facial expressions in a broad sense. In this research, we pay attention to this imperfect information game werewolf. The purpose of the research is to develop an intelligent agent “AI werewolf” which is enabled to naturally play werewolf with human....
Information from the sky is important for rescue activity in large-scale disaster or dangerous areas. Observation system using a balloon or an airplane has been studied as an information gathering system from the sky. A balloon observation system needs helium gas and relatively long time to be ready. An airplane observation system can be prepared in a short time and its mobility is good. However,...
Childhood obesity is a serious health problem that has adverse and long-lasting consequences for individuals, families, and communities. The magnitude of the problem has increased dramatically during the last three decades and, despite some indications of a plateau in this growth, the numbers remain stubbornly high. The nature of child obesity data is very complicated with different factors dependent...
In order to apply successfully the fuzzy clustering algorithms like shadowed C-means (SCM) to image segmentation problems, the spatial information related with each pixel in the image should be carefully calculated and appended to the clustering algorithms. In this paper, the non-local spatial information calculation is introduced to SCM. Because the data in the kernel space demonstrate more linearly-separable...
A universal fuzzy clustering model is proposed in order to adapt to the variability of a similarity data structure. For the purpose of the consideration of the variability of a similarity data, a nonlinear fuzzy clustering model has been proposed. In the nonlinear fuzzy clustering model, the similarity is represented by common degree of membership of a pair of objects to "each" fuzzy cluster...
This paper reports the model based analysis of Lithium Ion cell ageing and the age-related adaptation of data driven battery models is addressed. To take account of ageing is an important issue e. g. for the battery management of (hybrid) electrical vehicles, in order to provide an exact online estimate of the state of charge (SoC). As a first step, ageing data analysis based on the architecture of...
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