In this study, student enrollments to universities of North Cyprus are examined from 2000 to 2009. Future values are forecasted using trend centrality of actual and forecasted enrollments that are obtained by using fu...
ISBN:
(纸本)9789814417730
In this study, student enrollments to universities of North Cyprus are examined from 2000 to 2009. Future values are forecasted using trend centrality of actual and forecasted enrollments that are obtained by using fuzzy time series.
Copulas have been frequently used in solving issues about modeling multivariate variables for the significant advantage that it can capture the multivariate dependence of the variables irrespective of their marginal d...
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ISBN:
(纸本)9789814417730
Copulas have been frequently used in solving issues about modeling multivariate variables for the significant advantage that it can capture the multivariate dependence of the variables irrespective of their marginal distributions. The parametric families of Archimedean copulas are widely used in hydrologic frequency analysis due to their simple and closed form expressions. This paper mainly deals with the impacts of the length of hydrological data on the uncertainty of the modeling results of the Archimedean copulas. Several estimation methods are implemented including the inference from marginals (IFM) method, canonical maximum likelihood estimator (CMLE) and the estimation based on Kendall's tau. The results show that the length of data set will affect the choice of the best fitted copula and it is more reliable to use CMLE and estimation via Kendall' tau when the length of the data set changes.
Artificial Neural Networks (ANN) has seen an explosion of interest over the last few years. Indeed, anywhere that there are problems of prediction, classification or control, neural networks are being introduced. Henc...
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ISBN:
(纸本)9789814417730
Artificial Neural Networks (ANN) has seen an explosion of interest over the last few years. Indeed, anywhere that there are problems of prediction, classification or control, neural networks are being introduced. Hence, the main objective of this paper is to develop a model to predict the response of the soil-structure interaction system without using the calculate code based on sophisticate numerical methods by the employment of a statistical approach based on an Artificial Neural Network model (ANN). In this study, a data base which relates the impedance functions to the geometrics characteristic of the foundation and the dynamic properties of the soil is implemented. This leads to develop a neural network model to predict impedances functions (all modes) of a rectangular surface foundation. Then the results are compared with unused data to check the ANN model's validity.
The use of small-sized helicopters as UAV for professional applications is rapidly increasing. Flying a helicopter is a task that requires a great amount of experience and skill. This is due to the strong coupling tha...
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ISBN:
(纸本)9789814417730
The use of small-sized helicopters as UAV for professional applications is rapidly increasing. Flying a helicopter is a task that requires a great amount of experience and skill. This is due to the strong coupling that exists between the six degrees of freedom, resulting in the 12 dimensions needed to describe the dynamics of a helicopter. Therefore, to perform even simple flight movements a helicopter pilot has to carefully adjust more than one control simultaneously. The application of fuzzy controllers in a ground-based user interface enables fixed-wing pilots and even non-flying operators to fly a helicopter UAV mission in a controllable way. This paper investigates the feasibility of using fuzzy logic to assist a ground-based UAV pilot.
We deal with the problem of human facial expression recognition. An image is preprocessed for feature extraction using moment descriptors;then, it is represented in the product lattice (F-1(100), [0,1]. Preliminary, ...
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ISBN:
(纸本)9789814417730
We deal with the problem of human facial expression recognition. An image is preprocessed for feature extraction using moment descriptors;then, it is represented in the product lattice (F-1(100), <=) of Intervals' Numbers (INs). Both learning and generalization are pursued in (F-1(100), <=) by a Fuzzy Lattice Reasoning (FLR) classifier based on an inclusion measure function sigma:F(1)(100)xF(1)(100) -> [0,1]. Preliminary, experiments on a benchmark set have been promising.
A new rule-based representation scheme is proposed with belief degrees embedded in the entire consequent terms and in the entire antecedent terms of each rule, which is shown to be capable of capturing uncertainty and...
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ISBN:
(纸本)9789814417730
A new rule-based representation scheme is proposed with belief degrees embedded in the entire consequent terms and in the entire antecedent terms of each rule, which is shown to be capable of capturing uncertainty and nonlinear causal relationships in an integrated way. The overall representation and inference framework offers a further improvement and extension of the recently developed belief rule base inference methodology (called RIMER). Subsequently, a simple but efficient method for automatically generating such extended belief rule-base from numerical data is proposed involving neither time-consuming iterative learning procedure nor complicated rule generation mechanisms, which is mainly attributed to the new features of the ex-tended rule base with belief structures. Then a case study in oil pipeline leak detection is provided to illustrate the proposed approaches.
An active set of agents is a unifying space being able to act as a "bridge" for transferring information, ideas and results between distinct types of uncertainties and different types of logic. An active set...
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ISBN:
(纸本)9789814417730
An active set of agents is a unifying space being able to act as a "bridge" for transferring information, ideas and results between distinct types of uncertainties and different types of logic. An active set is a set of agents who independently deliver true or false values for a given proposition. Difference between an ordinary or fuzzy set and active set is that the ordinary set has passive elements with values of the attributes defined by an external agent, In the active set any element is an agent that internally defines the value of a given attribute for a passive element. The active set is a set of agents in epistemic modal logic. The difference between active set and modal logic is that all the agents (worlds) in the modal logic are separate but in active set are joined in the evaluation of the given proposition. The agents of the active set evaluate propositions includes the Hilbert multidimensional space where is possible to simulate quantum logic gate.
A "consensus clustering" methodology is applied to long-term (1950-2010) Turkey's meteorological data (temperature, humidity and precipitation) in order to analyze the seasonal variations. The consensus ...
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ISBN:
(纸本)9789814417730
A "consensus clustering" methodology is applied to long-term (1950-2010) Turkey's meteorological data (temperature, humidity and precipitation) in order to analyze the seasonal variations. The consensus clustering analysis applied is based on the methodology of disturbing the original data using resampling techniques, proposed by Monti et al [2]. We employed four different clustering algorithms (Agglomerative Nesting, Divisive Analysis, Partitioning Around Medoids and K-means) in order to form a consensus solution among different algorithms. Results indicated that Turkey is experiencing longer winter and summer, and rather short spring and fall seasons than usual.
It mainly includes the enterprise profit distribution, payment of wages and occupation opportunities and so on of enterprise interests' allocation. Because it relates to many types of stakeholders, such as the sha...
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ISBN:
(纸本)9789814417730
It mainly includes the enterprise profit distribution, payment of wages and occupation opportunities and so on of enterprise interests' allocation. Because it relates to many types of stakeholders, such as the shareholders, managers, employees, government and banks, the allocation of business interests is a complex management. In order to achieve the purpose of the enterprise, a power model of business interests' allocation is presented in this paper. The goal function of this model is the power to maximize and the constraint is the total interests limited.
In this paper, a new greedy algorithm is proposed to solve the fuzzy multiobjective flow shop scheduling problem. We use the two approaches;the possibility measure and the area of intersection for multi objective fuzz...
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ISBN:
(纸本)9789814417730
In this paper, a new greedy algorithm is proposed to solve the fuzzy multiobjective flow shop scheduling problem. We use the two approaches;the possibility measure and the area of intersection for multi objective fuzzy flow shop scheduling problem. The proposed new greedy algorithm is tested on the benchmark problems in the literature. The performance parameters of proposed greedy algorithm are determined by full factorial design of experiments (DOE). The performance of the proposed greedy algorithm is compared with the scatter search method.
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