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An Interactive Fuzzy Satisficing Method for Multiobjective Stochastic Integer Programming Problems through a Probability Maximization Model
| Content Provider | Semantic Scholar |
|---|---|
| Author | Perkgoza, Cahit Sakawaa, Masatoshi Katoa, Kosuke Katagiria, Hideki |
| Copyright Year | 2005 |
| Abstract | In this paper, we deal with multiobjective integer programming problems involving random variable coefficients in objective functions and/or constraints. After reformulation of them on the basis of a probability maximization model for the chance constrained programming, incorporating fuzzy goals of the decision maker for the objective functions, we propose an interactive fuzzy satisficing method to derive a satisficing solution for the decision maker using genetic algorithms as a fusion of the stochastic programming and the fuzzy one. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://apmr.management.ncku.edu.tw/comm/updown/DW0711290428.pdf |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Kosuke_Kato3/publication/268343319_An_Interactive_Fuzzy_Satisficing_Method_for_Multiobjective_Stochastic_Integer_Programming_Problems_through_a_Probability_Maximization_Model/links/54e49b040cf276cec171b691.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Coefficient Expectation–maximization algorithm Genetic algorithm Integer (number) Integer programming Judgment Linear programming relaxation Pareto efficiency Stochastic programming |
| Content Type | Text |
| Resource Type | Article |
