Fundamentals of digital image processing
Fundamentals of digital image processing
Graphical Models and Image Processing
3D Symmetry Detection Using The Extended Gaussian Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Features and classification methods to locate deciduous trees in images
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
E-commerce and the information market
Communications of the ACM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate Robust Symmetry Estimation
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Level-Set Evolution with Region Competition: Automatic 3-D Segmentation of Brain Tumors
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A Supplier's Optimal Quantity Discount Policy Under Asymmetric Information
Management Science
Dynamic Economic Lot Size Model with Perishable Inventory
Management Science
Designing Supply Contracts: Contract Type and Information Asymmetry
Management Science
Iterative Watersheds and Fuzzy Tumor Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Segmentation of kidney from ultrasound B-mode images with texture-based classification
Computer Methods and Programs in Biomedicine
Sale Timing in a Supply Chain: When to Sell to the Retailer
Manufacturing & Service Operations Management
International Journal of Computer Mathematics
Segmentation of medical images by using wavelet transform and incremental self-organizing map
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fast computation of exact Zernike moments using cascaded digital filters
Information Sciences: an International Journal
Image segmentation using Atanassov's intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
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This paper proposes a dynamic lot-sizing problem for the supply chain, based on the fuzzy theory. Past studies on inventory problems of asymmetric information typically focus on suppliers providing incentive contracts to attract buyers to cooperate with the replenishment policy, and the uncertain environment is constructed by statistics and probability methods. However, random variables are difficult to calculate during the analysis process. This paper focuses on analyzing how asymmetric information will affect cost deviation. The analytical result can be an important basis for decision makers when deciding budget for gaining insight into the information. This proposed problem considers the fact products deteriorate before distribution processing. In this problem, asymmetric information is constructed, using fuzzy theory. Suppliers may be responsible for monitoring the cost, to gain insight into the information. However, if the investment budget is larger than the cost deviation caused by the asymmetric information, it is not worthwhile. Decision makers must understand the degree of cost deviation caused by asymmetric information. This paper proposes some properties and theorems of the proposed problem. This paper applies those proposed properties to reduce the solution space for the algorithm to search. An ant colony optimization is constructed to solve this problem, based on the theorem of this paper. Numerical analysis shows variables related to asymmetric information affect cost deviation.