In this paper, we introduce a new hybrid preprocessing method for editing imbalanced data. The algorithm we propose first resamples the training data using the Synthetic Minority Oversampling Technique (SMOTE) method,...
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ISBN:
(纸本)9789814417730
In this paper, we introduce a new hybrid preprocessing method for editing imbalanced data. The algorithm we propose first resamples the training data using the Synthetic Minority Oversampling Technique (SMOTE) method, and subsequently applies an editing technique based on fuzzy rough set theory to the balanced training set. We evaluate the performance of our algorithm in an experimental study, using the C4.5 classifier as the learning algorithm. Statistical tests show the superiority of our method over state-of-the-art resampling methods.
This paper describes a multivariable H-2-H-infinity robust control approaches, for an ill conditioned, difficult to control system, given by a plasma chemical reactor CF4/O-2. The control of such a system resulted, in...
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ISBN:
(纸本)9789814417730
This paper describes a multivariable H-2-H-infinity robust control approaches, for an ill conditioned, difficult to control system, given by a plasma chemical reactor CF4/O-2. The control of such a system resulted, in the past, in a slow, oscillatory coupled response. The goals of applying robust controls, is the achievement of a decent smooth response with minimum oscillations and overshoot. In the pursuit of this goal, we proceed to the quantification of uncertainties affecting the plasma process. Then, the robustness conditions in closed loop, to be achieved, are clearly stated. Only then, the H-2 and H-infinity algorithms are applied, after the construction of the augmented system resulting from the standard process form. To provide the advantages of the H-infinity algorithm, we applied the H-2 one and compare the results obtained between the two controls.
We continue the study of the residuated operations in the framework of hyperstructures. We focus on the case of a multilattice as underlying algebraic structure and introduce the notions of filter and deductive system...
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ISBN:
(纸本)9789814417730
We continue the study of the residuated operations in the framework of hyperstructures. We focus on the case of a multilattice as underlying algebraic structure and introduce the notions of filter and deductive system. They differ from the analogous concepts in a pocrim due to the connection to congruence relations. Finally, we prove that the set of filters of a residuated multilattice is a complete lattice.
This article discusses statistical, SVM models and fuzzy logic neural network as new managerial tools for finding the input/output function of sales processes for industrial companies. The study reviews experimental r...
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ISBN:
(纸本)9789814417730
This article discusses statistical, SVM models and fuzzy logic neural network as new managerial tools for finding the input/output function of sales processes for industrial companies. The study reviews experimental results, discusses, analytically and numerically demonstrates the quality and interpretability of the obtained results.
Green or environmental concerns have been drawn more and more attention both in academia and industry. Nowadays, few firms have all the skills and resources to produce complex products entirely in-house and supply cha...
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ISBN:
(纸本)9789814417730
Green or environmental concerns have been drawn more and more attention both in academia and industry. Nowadays, few firms have all the skills and resources to produce complex products entirely in-house and supply chain management has become the dominant vehicle. Thus how to measure and enhance capability of green supply chain management (GSCM) plays an important role in developing an eco-friendly enterprise. The purpose of eco-friendly development planning is to unite the resources of an enterprise to create business value. For an enterprise to enhance GSCM, deploying and starting with green drivers of the business environment, as well as green supply chain (GSC) capabilities and providers, and ultimately transforming all these attributes into strategic competitive edges are all critical. However, the published literature on GSCM hitherto has failed to sufficiently address the relevant perspectives in such analyses. The relationship matrix in the quality function deployment (QFD) method provides an excellent tool for deploying important concepts and linking processes. Furthermore, due to the ill-defined and ambiguous relationships among GSC drivers, capability and provides, the conventional evaluation approaches not can handle such decisions suitably and effectively. This study suggests an operational strategy for deploying the GSC drivers, capabilities as well as providers by using the relationship matrix in the QFD method and fuzzy logic. An illustrative example is presented to demonstrate the applicability of the proposed method.
Group buying aggregators collect data from heterogeneous sources on the Internet and fit them into a unified schema. As the amount of data grows, the initial schemes need to be maintained and optimized such as being d...
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ISBN:
(纸本)9789814417730
Group buying aggregators collect data from heterogeneous sources on the Internet and fit them into a unified schema. As the amount of data grows, the initial schemes need to be maintained and optimized such as being decomposed into a desired normal form. This paper provides an approach to decompose relation schemes of group buying aggregator in a reverse engineering manner. Functional dependencies with degree of satisfaction that are discovered from massive data are used to decompose relation schemes into 3NF. A preliminary data experiment has been done to illustrate the effectiveness of the approach.
Due to the increase in both consumption and obsolescence rates for new technologies, but shorter life cycles of electronic products cause a significant rise in the volume of electronic waste (e-waste). E-waste practic...
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ISBN:
(纸本)9789814417730
Due to the increase in both consumption and obsolescence rates for new technologies, but shorter life cycles of electronic products cause a significant rise in the volume of electronic waste (e-waste). E-waste practices mostly focus on the processes for a collection system;however, the amount of e-waste critically affects the network design considering the number of facilities and the capacity assignments, as well. We present a framework proposal to predict the amount of e-waste including IT/telecommunication and consumer equipments in Istanbul metropolitan. The main selection reason of Istanbul is the requirement of an urgent intervention to deal with increasing e-waste amount due to its young and crowded population. The result of this study will strongly assist the authorities to configure well-structured strategies for future e-waste management system.
In this paper, an efficient optimization method called Modified Firefly Algorithm (MFA) is proposed to handle complex nonlinear optimization problems. In order to enhance the exploratory ability of the algorithm, a ne...
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ISBN:
(纸本)9789814417730
In this paper, an efficient optimization method called Modified Firefly Algorithm (MFA) is proposed to handle complex nonlinear optimization problems. In order to enhance the exploratory ability of the algorithm, a new modification process is integrated sufficiently. The proposed method is examined on several benchmark optimization problems with different characteristics and results are compared to some of the other well-known algorithms in the area.
Earthquake early warning (EEW) is very important to earthquake mitigation, but EEW information before an earthquake is usually ignored. China Public Safety Early Warning information Systems (CPSEWIS) including EEW inf...
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ISBN:
(纸本)9789814417730
Earthquake early warning (EEW) is very important to earthquake mitigation, but EEW information before an earthquake is usually ignored. China Public Safety Early Warning information Systems (CPSEWIS) including EEW information before, amid and after an earthquake is introduced. More important is that a method is designed to judge credibility of EEW information for the CPSEWIS to obtain useful EEW information and help people mitigate.
Data envelopment analysis (DEA) is a commonly used non-parametric technique for performance measurement of decision making units (DMU) that can also be used in normatively in activity planning, resource allocation and...
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ISBN:
(纸本)9789814417730
Data envelopment analysis (DEA) is a commonly used non-parametric technique for performance measurement of decision making units (DMU) that can also be used in normatively in activity planning, resource allocation and target setting. Whereas earlier work in this line have considered completely defined data, prospective use of DEA in activity planning often involves uncertainty with respect to the feasible ranges for allocation of resources and target settings. In this paper, we present an imprecise DEA-based method with interval inputs and outputs as to address this shortcoming. The proposed model corresponds to reasonable managerial objectives concerning the technical efficiency of the subordinate units after implementing resource allocation and target setting.
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