Generalized expected value model based on compound quantification and its application in transportation problems

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 6, 2011, Pages 3303-3315

  Li, Fachao ^a   Wang, Li ^a   Shi, Yan ^b  

^a HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b TOKAI UNIVERSITY   (Japan)

Author keywords

Chance constrained; Generalized expected value model; Reliability coefficient; Stochastic programming; Synthesizing effect; Transportation problem

Indexed keywords

AXIOM SYSTEM; CHANCE-CONSTRAINED; COMPARISON METHODS; COMPLEX ENVIRONMENTS; ENERGY DEVELOPMENT; EXPECTATION AND VARIANCE; EXPECTED VALUE MODEL; INCOMPLETE INFORMATION; MATERIALS MANAGEMENT; QUASI-LINEAR; RANDOM CONSTRAINTS; RANDOM ENVIRONMENT; STOCHASTIC TRANSPORTATION; SYNTHESIZING EFFECT; SYNTHESIZING EFFECT FUNCTION; TRANSPORTATION PROBLEM;

COMPUTER SYSTEMS PROGRAMMING; MATERIALS HANDLING; STANDARDIZATION; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; TRANSPORTATION;

STOCHASTIC MODELS;

EID: 79956063693     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. F. T. Lin and T. R. Tsai, A two-stage genetic algorithm for solving the transportation problem with fuzzy demands and fuzzy supplies, International Journal of Innovative Computing, Information and Control, vol.5, no.12, pp.4775-4786, 2009.
2. M. C. Chen, I. Hiroaki and C. X. Wu, Transportation problems on a fuzzy network, International Journal of Innovative Computing, Information and Control, vol.4, no.5, pp.1105-1109, 2008.
3. B. Jiang and M. F. Sun, The modeling and solution of transportation problem of uncertain demand, Mathematics Teaching Research, vol.1, pp.50-52, 2008.
4. E. E. Ammar and E. A. Youness, Study on multi-objective transportation problem with fuzzy numbers, Applied Mathematics and Computation, vol.166, pp.241-253, 2005.
5. G. A. Chalam, Fuzzy goal programming (FGP) approach to a stochastic transportation problem under budgetary constraint, Fuzzy Sets and Systems, vol.66, pp.293-299, 1994.
6. L. H. Mohammad, Complete solution of multiple objective transportation problem with possibilistic coefficients, Fuzzy Sets and Systems, vol.93, pp.293-299, 1998.
7. X. J. Zhang, Models and algorithms of the uncertain transportation problem, Chongqing University, 2007.
8. F. C. Li, C. X. Jin and Y. Shi, Study on solution models and methods for random assignment problem, International Journal of Innovative Computing, Information and Control, vol.5, no.2, pp.359-368, 2009.
9. Q. Dong and F. C. Li, Study on fuzzy programming methods based on synthesizing effect function, Journal of Hebei University of Science and Technology, vol.29, no.3, pp.178-181, 2009.
10. S. S. Teng, J. S. Su and J. S. Yao, Fuzzy linear programming based on interval-valued fuzzy sets, International Journal of Innovative Computing, Information and Control, vol.5, no.8, pp.2081-2090, 2009.
11. A. Charnes and W. W. Cooper, Chance-constrained programming, Management Science, vol.6, no.2, pp.73-79, 1959.
12. B. Liu, Dependent-chance programming: A class of stochastic programming, Computers and Mathematics with Applications, vol.34, no.12, pp.89-104, 1997.
13. M. H. Ha, H. Zhang, P. Witold et al., The expected value model on Sugeno measure space, International Journal of Approximate Reasoning, vol.50, no.7, pp.1022-1035, 2009.
14. Y. J. Sun, L. Y. Kang, W. X. Shi et al., Study on sizing of batteries for distributed power system utilizing chance constrained programming, Journal of System Simulation, vol.17, no.1, pp.41-44, 2005.
15. X. Liu and S. W. He, Study on bus dispatching model based on dependent-chance goal programming, Communications Standardization, vol.12, pp.153-155, 2006.