A New Link Between Output-oriented BCC Model with Fuzzy Data in the Present of Undesirable Outputs and MOLPEbrahimenjad, A.
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0070-0
AbstractIn recent years, the relation between data envelopment analysis and multiple objective linear programming has received a great deal of attention from researchers. However, there are two difficulties in doing an objective evaluation of the performance of decision making units. The first one is how to treat undesirable factors jointly produced with the desirable factors and the second one is how to treat with imprecise data. In this paper, we establish an equivalence relation between multiple objective linear programming and the output-oriented Banker, Charnes, Cooper(BCC) model in the present of undesirable factors and fuzzy data such that the decision maker's preference can be taken into account in an interactive fashion for finding target unit.
A Novel Digital Image Covert Communication Scheme Based on Generalized FCM in DCT DomainSu, Li-yun; Li, Feng-lan; Li, Jiao-jun; Chen, Bo
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0071-z
AbstractA novel covert communication method of digital image is presented, based on generalized fuzzy c-means clustering (GFCM), human visual system (HVS) and discrete cosine transform (DCT). Therefore, the original image blocks are classified into two classes according to specified characteristic parameters. So one block is suited for embedding security information, but the other block is not. Hence the appropriate blocks can be selected in an image to embed the security information by selectively modifying the middle-frequency part of the original image in conjunction with HVS and DCT. Furthermore the maximal information strength is fixed based to the frequency masking. Also to improve performances of the proposed algorithm, the security information is modulated into the chaotic modulation array. The simulation results show that we can remarkably extract the hiding security information and can achieve good robustness with common signal distortion or geometric distortion and the quality of the embedded image is guaranteed.
The Upgrade of Topological Group Based on a New Hyper-topologyZhong, Yu-bin; Li, Hong-xing
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0072-y
AbstractWang et al [1] have put forward the problem of upgrade of topology and obtained a series of systematic theories and applicable results. Li et al [2] have put forwarded the problem of upgrade of group and also obtained a series of results. Consequently, the problem of upgrade of mathematic structure has drawn more attention of researchers. However, for the work to upgrade topology and group at the same time, little progress has been made although there are someone studying on it. Based on a kind of intuitive convergent way, the paper has proposed a new hyper-topology and upgraded two mathematic structures of topological group to power set and fuzzy power set respectively. It has proved that multiplication and contradiction operations continues in the new hyper-topology after upgrading and a series of results are obtained creating hyper-topological group and fuzzy hyper-topological group. Accordingly, hyper-topological group and fuzzy hyper-topological group can be created, obtaining a breakthrough to upgrade topological group to its power set and fuzzy power set.
Scheme Choice for Optimal Allocation of Water Resources Based on Fuzzy Language Evaluation and the Generalized Induced Ordered Weighted Averaging OperatorDing, Fei; Yamashita, Takao; Lee, Han Soo; Ping, Jian-hua
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0075-8
AbstractThe choice of scheme for the optimal allocation of water resource (OAWR) is a fuzzy multiple-attribution decision that is determined using information from many figures and fuzzy language regarding several evaluated factors, such as investment, daily water supplying, fee of contaminated water disposal, water conservation, and the development of economy.In this paper, the evaluation system employed to choose an OAWR scheme is established based on the evaluation of fuzzy language and the generalized induced ordered weighted averaging (GIOWA) operator. Considering economic aspects and a sustainable water supply, the five following constituents are chosen: 1) Investment (Yuan), 2) Daily water supply (ton/day), 3) Fee of contaminated water disposal (Yuan), 4) Water conservation (fuzzy language), and 5) Development of economy (fuzzy language). The analytic hierarchy process (AHP) method is used to determine the weighting vector.A case study on the choice of OAWR in the northern area of Shenyang city, China was conducted by a multiple-attribution decision based on the GIOWA operator. The results shows that the system employed was able to choose the best scheme of OAWR in which fuzzy and multiple-attribution decision-making should be performed.
A Novel FPGA-based H.264/AVC Intra PredictionRen, Guo-yan; Li, Jian-jun
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0076-7
AbstractThe advanced video compression standard H.264/AVC adopts Rate Distortion Optimization to enhance coding efficiency at the cost of a very high computational complexity. Intra Prediction part is the major processing bottleneck considering total time and power consumption. We therefore propose an efficient parallel processing structure for H.264/AVC 4 × 4 intra prediction. Unlike generic architectures utilizing serial processing with increased time and power consumption, a new processing order is introduced to reduce data dependencies between consecutively executed blocks within H.264/AVC intra prediction. Our experimental results show that the parallel execution of these blocks saves power consumption by up to 22.8% with slight increase in bit rate.
A Linear Programming Priority Method for a Fuzzy Transportation Problem with Non-linear Constraints — The Case of a General Contractor CompanyBarough, Hossein Abdollahnejad
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0077-6
AbstractDemand and supply pattern for most products varies during their life cycle in the markets. In this paper, the author presents a transportation problem with non-linear constraints in which supply and demand are symmetric trapezoidal fuzzy value. In order to reflect a more realistic pattern, the unit of transportation cost is assumed to be stochastic. Then, the non-linear constraints are linearized by adding auxiliary constraints. Finally, the optimal solution of the problem is found by solving the linear programming problem with fuzzy and crisp constraints and by applying fuzzy programming technique. A new method proposed to solve this problem, and is illustrated through numerical examples. Multi-objective goal programming methodology is applied to solve this problem. The results of this research were developed and used as one of the Decision Support System models in the Logistics Department of Kayson Co.
Interval-valued Level Cut Sets of Fuzzy SetYuan, Xue-hai; Li, Hong-xing; Sun, Kai-biao
2011 Fuzzy Information and Engineering
doi: 10.1007/s12543-011-0078-5
AbstractThe connections between Zadeh fuzzy set and three-valued fuzzy set are established in this paper. The concepts of interval-valued level cut sets on Zadeh fuzzy set are presented and new decomposition theorems and representation theorems of Zadeh fuzzy set are established based on new cut sets. Firstly, four interval-valued level cut sets on Zadeh fuzzy set are defined as three-valued fuzzy sets and it is shown that the interval-valued level cut sets of Zadeh fuzzy set are generalizations of normal cut sets on Zadeh fuzzy set, and have the same properties as those of normal cut sets of Zadeh fuzzy set. Secondly, the new decomposition theorems are established based on these new cut sets. It is pointed out that each kind of interval-valued level cut sets corresponds to two decomposition theorems. Thus eight decomposition theorems are obtained. Finally, the definitions of three-valued inverse order nested sets and three-valued order nested sets are presented with eight representation theorems based on new nested sets.