A discrete location model with fuzzy accessibility measures
Fuzzy Sets and Systems
Fuzzy multi-criteria facility location problem
Fuzzy Sets and Systems
Bi-criteria multi facility location problem in fuzzy environment
Fuzzy Sets and Systems
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
A survey of credibility theory
Fuzzy Optimization and Decision Making
Chance-constrained programming models for capital budgeting with NPV as fuzzy parameters
Journal of Computational and Applied Mathematics
Fuzzy facility location problem with preference of candidate sites
Fuzzy Sets and Systems
Logistics distribution centers location problem and algorithm under fuzzy environment
Journal of Computational and Applied Mathematics
Modeling capacitated location-allocation problem with fuzzy demands
Computers and Industrial Engineering
Natural Computing: an international journal
Optimal models for single-period supply chain problems with fuzzy demand
Information Sciences: an International Journal
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
A review of credibilistic portfolio selection
Fuzzy Optimization and Decision Making
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
Fuzzy Sets and Systems
An application of swarm optimization to nonlinear programming
Computers & Mathematics with Applications
Information Sciences: an International Journal
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Entropy of Credibility Distributions for Fuzzy Variables
IEEE Transactions on Fuzzy Systems
Survey: Facility location dynamics: An overview of classifications and applications
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
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Facility location problem is one of the most critical elements in the design of distribution systems, and numerous studies have focused on this issue. However, facility location theory and guidelines for B2C firms are sparse. In this paper, with regard to the customer characteristics peculiar to B2C e-commerce and the turbulence of the competitive market, a new fuzzy location model is proposed to optimize the distribution system design in B2C e-commerce. The model adopts a hierarchical agglomerative clustering method to classify customers and estimate the fuzzy delivery cost. At the same time, due to the turbulence of competitive market, both market supply and customer demand are treated as fuzzy variables in the model. Afterward, the credibility measure and Hurwicz criterion are introduced to convert the model into a crisp one which has NP-hard complexity. In order to solve the crisp model, an improved genetic algorithm with particle swarm optimization is developed. Finally, the computational results of some numerical examples are used to illustrate the application and performance of the proposed model and algorithm.