This paper provides a systematic review on the research development of alpha-resolution automated reasoning theories, methods, algorithms and prototype in lattice-valued propositional logic and first-order logic based...
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ISBN:
(纸本)9789814417730
This paper provides a systematic review on the research development of alpha-resolution automated reasoning theories, methods, algorithms and prototype in lattice-valued propositional logic and first-order logic based on lattice implication algebra (LIA), linguistic truth-valued lattice-valued propositional logic and first-order logic based on LIA, respectively. In addition, some important problems needed to be further investigated are proposed.
A new C x K nearest neighbor algorithm with a new point of view is proposed. In this algorithm K neighbors from each of the classes are taken into account instead of the well-known K neighbor algorithm in which only t...
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ISBN:
(纸本)9789814417730
A new C x K nearest neighbor algorithm with a new point of view is proposed. In this algorithm K neighbors from each of the classes are taken into account instead of the well-known K neighbor algorithm in which only the total number of neighbors are considered. After experiments with well-known classification datasets, we conclude that K -NN, weighted K -NN, and average linkage neighbors results are between the single-linkage and complete-linkage algorithms. After the evaluation of the average accuracy results, we realized that the best results are obtained for the values of K between 1 and 10. On the other hand, it is determined that using single-linkage strategy provides high values of the results at most of the times.
Uncertainty in various domains implies the necessity for data mining techniques and algorithms that can handle uncertain datasets. Many studies on uncertain datasets have focused on modeling, query ranking, discoverin...
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ISBN:
(纸本)9789814417730
Uncertainty in various domains implies the necessity for data mining techniques and algorithms that can handle uncertain datasets. Many studies on uncertain datasets have focused on modeling, query ranking, discovering frequent patterns, classification models, clustering, etc. However despite the existing need, not many studies have considered uncertainty in sequential data. This paper introduces UAprioriAll, a method to mine frequent sequences in the presence of uncertainty in transactions. UAprioriAll scales linearly in time relative to the size of the dataset.
In this study, a location selection methodology using an integrated multi-criteria decision making approach for a logistics network model design in the presence of health emergency situations for Turkey is proposed. I...
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ISBN:
(纸本)9789814417730
In this study, a location selection methodology using an integrated multi-criteria decision making approach for a logistics network model design in the presence of health emergency situations for Turkey is proposed. It is an important issue to urgent response to such unpredictable disasters. The proposed methodology tries to select the locations of temporary emergency centers for affected areas while considering eleven decision making criteria. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods are integrated to determine the convenient locations considering the relations between criteria and alternative locations.
The purpose of this paper is to use bibliometric analysis to forecast 3D TV technology. Forecasting emerging technologies and identifying the rate of diffusion of products based on these technologies is difficult beca...
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ISBN:
(纸本)9789814417730
The purpose of this paper is to use bibliometric analysis to forecast 3D TV technology. Forecasting emerging technologies and identifying the rate of diffusion of products based on these technologies is difficult because of lack of data. For this aim, ISI Web of science publication database is searched and posed with findings appropriate S-curve is composed. Then technology life cycle of 3D TV technology is obtained and results are explained.
The principal risks in the railway industry are mainly associated with collisions, derailments and level crossing accidents. An understanding of the nature of previous accidents on the railway network is required to i...
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ISBN:
(纸本)9789814417730
The principal risks in the railway industry are mainly associated with collisions, derailments and level crossing accidents. An understanding of the nature of previous accidents on the railway network is required to identify potential causes and develop safety systems and deploy safety procedures. Risk assessment is a process for determining the risk magnitude to assist with decision-making. We propose a three-step methodology to predict the mean number of fatalities in railway accidents. The first is to predict the mean number of accidents by analyzing generalized linear models and selecting the one that best fits to the available historical data on the basis of goodness-of-fit statistics. The second is to compute the mean number of fatalities per accident and the third is to estimate the mean number of fatalities. The methodology is illustrated on the Spanish railway system. Statistical models accounting for annual and grouped data for the 1992-2009 time period have been analyzed. After identifying the models for broad and narrow gauges, we predicted mean number of accidents and the number of fatalities for the 2010-18 time period.
Similarity measure is an important part of the image matching methods. This paper introduces the medium mathematic system to image matching. It establishes the novel image medium similarity measure between two pixels ...
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ISBN:
(纸本)9789814417730
Similarity measure is an important part of the image matching methods. This paper introduces the medium mathematic system to image matching. It establishes the novel image medium similarity measure between two pixels and that of between two image sets based on the measure of medium truth degree. A new image matching algorithm that is governed by the medium similarity measure is discussed in this paper. The experimental results show that the proposed method is effective.
Continuous change in technology and differentiation in product models in industrial market have an indispensable impact on forecasting demand for spare parts. Inventory managers periodically update their predictions o...
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ISBN:
(纸本)9789814417730
Continuous change in technology and differentiation in product models in industrial market have an indispensable impact on forecasting demand for spare parts. Inventory managers periodically update their predictions of future demand rates for products. A Bayesian model, using a prior probability distribution for the demand rate, was used to obtain optimal inventory levels over several periods assuming a known cost for surplus and shortage. However, its performance has not been examined under various demand rates such as intermittent demand. Study examines such conditions with a research question.
Many companies operating in construction sector have the projects resulted with failure because of making unsuccessful decisions on project selection. The goal of this study is to propose a decision making approach fo...
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ISBN:
(纸本)9789814417730
Many companies operating in construction sector have the projects resulted with failure because of making unsuccessful decisions on project selection. The goal of this study is to propose a decision making approach for project selection by taking strategic goals and organizational expectations into consideration for the firms operating in construction sector. In this study, project selection criteria have been determined by discussing with the firms producing similar type of houses and by considering the related literature. Then a real application has been achieved in a large scale construction company. In the proposed model, a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method is used for evaluating and prioritizing the candidate construction projects. Consequently, it is determined that proposed model gives successful results and may help decision makers choose the best alternative projects.
We consider simultaneously the scheduling problem and the preventive maintenance tasks of a two-level permutation Flow-Shop. Our objective is to optimize simultaneously both criteria. For this we have chosen to study ...
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ISBN:
(纸本)9789814417730
We consider simultaneously the scheduling problem and the preventive maintenance tasks of a two-level permutation Flow-Shop. Our objective is to optimize simultaneously both criteria. For this we have chosen to study the minimization of Cmax to the scheduling problem and minimizing the unavailability of system (flow-shop) for maintenance problem. We consider the F-2 //(Cmax, unavailability) case. For this, we present some properties of the optimal solution based on Johnson algorithm.
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