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Zhanjiang, China

Guangdong Ocean University was established in 1997 to provide courses in oceanography and maritime science. It is situated in the Zhanjiang District, Guangdong Province, China. Wikipedia.


In this paper, we investigate the group decision making problem in which the attribute values are given as interval numbers, and the attribute weights are able to be determined appropriately. The contribution of this paper is to determine the weights of Decision Makers (DMs), using an extended projection technique. We define the ideal decision of all individual decisions as their average. The weights of DMs are determined according to the extended projection of each individual decision on the ideal decision. Finally, we give an example to illustrate the developed approach. © 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved. Source


Yue Z.,Guangdong Ocean University
Expert Systems with Applications | Year: 2011

In this paper, we investigate the multiple attribute group decision making (MAGDM) problems, of which the attribute values in the group decision matrices provided by each decision maker (DM) is characterized by interval numbers. First, we define the concepts of attribute satisfactory interval and attribute dissatisfactory interval, respectively, according to the attribute values. Then we develop an approach for aggregating attribute satisfactory interval and attribute dissatisfactory interval into the collective attribute interval-valued intuitionistic fuzzy number (IVIFN), and then we obtain the collective interval valued intuitionistic fuzzy decision matrix for group decision making. Next, we use the interval-valued intuitionistic fuzzy weighted averaging operator to aggregate all attribute values characterized by interval- valued intuitionistic fuzzy information to get the overall IVIFNs of alternatives. And then we use the score function and accuracy function to calculate the score and accuracy degree of each alternative value, and then rank the alternatives according to the score and accuracy degree of each alternative and select the most desirable one(s). And finally, we give an example for comprehensive pre-evaluation of air quality in Guangzhou, China during 16th Asian Olympic Games to illustrate in detail the decision process by the developed approach. © 2010 Elsevier Ltd. All rights reserved. Source


Yue Z.,Guangdong Ocean University
Expert Systems with Applications | Year: 2011

The purpose of this paper is to develop a new approach for measuring the decision makers' weights in group decision making setting, in which the decision information, provided by multiple decision makers, is expressed in interval-valued intuitionistic fuzzy numbers. There are two key issues being addressed in this approach. The first one is to develop an ideal decision of group, which is the mean of group decision. The second one is to select the similarity measure between each individual decision and the ideal decision according to the idea of the TOPSIS of Hwang and Yoon (1981). A numeric example is also given to clarify the developed approach and to demonstrate its effectiveness. © 2011 Elsevier Ltd. All rights reserved. Source


Ye G.,Guangdong Ocean University
Pattern Recognition Letters | Year: 2010

This paper presents an image scrambling encryption algorithm of pixel bit based on chaos map. The algorithm takes advantage of the best features of chaos maps, such as their pseudorandom property, system parameters, sensitive dependence on initial conditions and un-periodicity, combined with the pixel value bits. The new algorithm uses a single chaos map only once to implement the gray scrambling encryption of an image, in which the pixel values ranging from 0 to 255 are distributed evenly, the positions of all pixels are also permutated. In this way, the proposed method transforms drastically the statistical characteristic of original image information, so, it increases the difficulty of an unauthorized individual to break the encryption. Finally, the numerical experimental results show that the image encryption algorithm suggested has perfect hiding ability including large key space, sensitive key to initial conditions, high gray scrambling degree, and is suitable for practical use to protect the security of digital image information over the Internet. © 2009 Elsevier B.V. All rights reserved. Source


Yue Z.,Guangdong Ocean University
Expert Systems with Applications | Year: 2012

In traditional TOPSIS method, the ideal solutions for alternatives are expressed in vectors. An important step in the process of group decision making is to determine the relative importance of each decision maker. In this paper, the weights of decision makers derived from individual decision are determined by using an extended TOPSIS method with interval numbers. The ideal decisions for all individual decisions are expressed in matrices. The positive ideal decision is the intersection of all individual decisions; the negative ideal decision is the union of all individual decisions. Comparisons with other methods are also made. A numerical example is examined to show the potential applications of the proposed method. © 2011 Elsevier Ltd. All rights reserved. Source

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