The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Fuzzy models for single-period inventory problem
Fuzzy Sets and Systems
Multi-item fuzzy EOQ models using genetic algorithm
Computers and Industrial Engineering
Applying genetic algorithms to dynamic lot sizing with batch ordering
Computers and Industrial Engineering
An inventory model for single-period products with reordering opportunities under fuzzy demand
Computers & Mathematics with Applications
Co-op advertising and pricing models in manufacturer-retailer supply chains
Computers and Industrial Engineering
Computers and Industrial Engineering
The return policy model with fuzzy demands and asymmetric information
Applied Soft Computing
A simple approach to ranking a group of aggregated fuzzy utilities
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Manufacturer's coordination mechanism for single-period supply chain problems with fuzzy demand
Mathematical and Computer Modelling: An International Journal
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This paper considers a single-period product inventory control in a distributed supply chain, which is composed of one manufacturer and one retailer and operates in the environment of uncertain market demand. A Stackelberg model with fuzzy demand is first developed, with using a L-R fuzzy number with a general membership function to depict the fuzzy market demand, and through adopting the weighted possibilistic mean value method to rank the retailer and the manufacturer's fuzzy profits, the risk preference of decision maker is also taken into consideration in the model. A special case where the market demand is assumed to be a triangular fuzzy number is further considered, and Genetic Algorithm and Pattern Search Algorithm are adopted to obtain the optimal solutions of the Stackelberg model. At last, numerical examples are used to illustrate the proposed model and sensitivity analyses are provided to get managerial implications.