De Lin Institute of Technology
De Lin Institute of Technology
Kuo R.J.,National Taiwan University of Science and Technology |
Syu Y.J.,Vanguard International Semiconductor Corporation |
Chen Z.-Y.,De Lin Institute of Technology |
Tien F.C.,National Taipei University of Technology
Information Sciences | Year: 2012
Although the algorithms for cluster analysis are continually improving, most clustering algorithms still need to set the number of clusters. Thus, this study proposes a novel dynamic clustering approach based on particle swarm optimization (PSO) and genetic algorithm (GA) (DCPG) algorithm. The proposed DCPG algorithm can automatically cluster data by examining the data without a pre-specified number of clusters. The computational results of four benchmark data sets indicate that the DCPG algorithm has better validity and stability than the dynamic clustering approach based on binary-PSO (DCPSO) and the dynamic clustering approach based on GA (DCGA) algorithms. Furthermore, the DCPG algorithm is applied to cluster the bills of material (BOM) for the Advantech Company in Taiwan. The clustering results can be used to categorize products which share the same materials into clusters. © 2012 Elsevier Inc. All rights reserved.
Hsu P.H.,De Lin Institute of Technology |
Wee H.M.,Chung Yuan Christian University |
Teng H.M.,Institute of Business Administration
International Journal of Production Economics | Year: 2010
The objective of this study is to develop a deteriorating inventory policy when the retailer invests on the preservation technology to reduce the rate of product deterioration. A solution procedure is presented to determine an optimal replenishment cycle, shortage period, order quantity and preservation technology cost such that the total profit per unit time is maximized. A numerical example and sensitivity analysis are presented to illustrate the model. © 2009 Elsevier B.V. All rights reserved.
Chen Y.-T.,De Lin Institute of Technology
Journal of Marine Science and Technology | Year: 2010
This study utilizes silver nano-fluid filled flat heat pipe. It is aimed at effect of various concentrations on flat heat pipe thermal performance by air-cooling testing equipment. The particles used in these experiments were silver particles 35 nm in size. The base working fluid was pure-water. Nano-fluids were prepared using a two-step method. In the experiment, the thickness and length of the heat pipe are 3 mm and 200 cm, respectively. An experimental system was set up to measure the temperature distribution of heat pipes and calculate the thermal resistance by equation R = △TlQ. At a same charge volume, the thermal resistance of heat pipe filled nano-fluid was lower than DI water.
Hwang H.-E.,De Lin Institute of Technology
Optics Communications | Year: 2011
A novel method for image encryption and decryption based on Hartley transform in the Fresnel transform domain is presented. Different from the conventional method which requires lens to perform the Fourier transform for achieving Hartley transform, the proposed new optical architecture of Hartley transform is based on the Fresnel diffraction which requires no Fourier transform lenses. The position coordinate as well as the wavelength in the Fresnel transform is used as encoding keys that can ensure the sufficient information security. The main advantages of this proposed image security system are that it uses fewer optical devices and the decryption scheme is straightforward and more secure than the previous works. © 2011 Elsevier B.V. All rights reserved.
Lee L.-W.,De Lin Institute of Technology
Expert Systems with Applications | Year: 2012
In this paper, we present a new method for group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency. We estimate unknown preference values based on the additive consistency and then construct the consistency matrix which satisfies the additive consistency and the order consistency simultaneously for aggregation. The existing group decision making methods may not satisfy the order consistency for aggregation in some situations. The proposed method can overcome the drawback of the existing methods. It provides us with a useful way for group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency. © 2012 Published by Elsevier Ltd. All rights reserved.
Yeh K.,De Lin Institute of Technology
International Journal of Physical Sciences | Year: 2011
This study examines the feasibility of applying adaptive fuzzy sliding mode control (AFSMC) strategies to reduce the dynamic responses of buildings constructed using a lead rubber bearing (LRB) isolation hybrid protective system. Recently developed control devices for civil engineering structures, including hybrid systems and semi-active systems, have been found to have inherent nonlinear properties. It is thus necessary to develop non-linear control methods to deal with such properties. Generally, controller fuzziness increases the robustness of the control system 75 to counter uncertain system parameters and input excitation, and the non-linearity of the control rule increases the effectiveness of the controller relative to linear controllers. AFSMC is a combination of sliding mode control (SMC) and fuzzy control. The performance and robustness of these proposed control methods are all verified by numerical simulation. The results demonstrate the viability of the presented methods. The attractive control strategy derived there-from is applied to seismically excited buildings using LRB isolation. © 2011 Academic Journals.
Chen S.-M.,National Taiwan University of Science and Technology |
Lin T.-E.,National Taiwan University of Science and Technology |
Lee L.-W.,De Lin Institute of Technology
Information Sciences | Year: 2014
In this paper, we present a new method for group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency with consistency degrees to overcome the drawbacks of Lee's method , where Lee's method cannot obtain the correct preference order of alternatives in some situations. First, we estimate unknown preference values of incomplete fuzzy preference relations based on the additive consistency. Then, we construct modified consistency matrices of experts which satisfy the additive consistency and the order consistency simultaneously. We also prove some properties of the constructed modified consistency matrices. Finally, based on the constructed modified consistency matrices of experts, we present a new method for group decision making. The proposed method provides us with a useful way for group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency with consistency degrees. © 2013 Elsevier Inc. All rights reserved.
Chang W.-J.,De Lin Institute of Technology
International Journal of Services, Technology and Management | Year: 2014
Market orientation (MO) has received considerable attention from researchers since 1990, but few of them facilitate good understandings of MO within B2B organisations. This paper aims to help beginner researchers or practitioners to have access to MO from different perspectives and to link research on MO in the field of B2B while the majority of marketers prefer B2C than B2B. 212 B2B articles retrieved from the electronic journal were examined to find the B2B research domains to date. Incorporating MO and B2B, an integrated framework of MO-B2B relationship was presented. The exploration of B2B and the presentation of integrated framework of MO-B2B relationship appear to be new and interesting in contrast to previous studies. The former briefly describes the tendency of B2B to date and the latter highlights the strategic position of MO and B2B separately. Copyright © 2014 Inderscience Enterprises Ltd.
Lee L.-W.,De Lin Institute of Technology |
Chen S.-M.,National Taiwan University of Science and Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013
This paper presents a new fuzzy decision making method based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets. We also present a similarity measure between hesitant fuzzy linguistic term sets. The proposed method is more simple for fuzzy decision making than the method presented in . It provides us with a useful way for decision making in a fuzzy environment. © 2013 Springer-Verlag.
Lin W.-Y.,De Lin Institute of Technology
Mechanism and Machine Theory | Year: 2010
A new real-coded evolutionary algorithm is proposed for application to path synthesis of a four-bar linkage. This new evolutionary algorithm is obtained by combining differential evolution (DE) with the real-valued genetic algorithm (RGA). We term this the "GA-DE hybrid algorithm." The only difference between the proposed algorithm and RGA is in the content of the crossover. The crossover operation in the RGA is replaced by differential vector perturbation, with the best individual or some excellent individuals as the base vectors. Thus, both the main perturbation of differential vectors and the minor perturbation of mutation are used as genetic operators in the GA-DE hybrid algorithm. The efficiency and accuracy of the proposed method are tested using four cases. Findings show that much more accurate solutions for three cases are obtained with this method than those obtained using other evolutionary methods as discussed in the literature. A moveable stick diagram of the synthesized mechanisms can be obtained using the 2D sketch feature of SolidWorks®. This can be used to check whether the synthesized mechanisms encounter circuit defects or are incapable of motion. © 2010 Elsevier Ltd. All rights reserved.