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- W2121292076 abstract "We propose a rule-based dynamic definition of weight values for multi-objective fuzzy scheduling problems with the OWA operator. When we employ the scheme of the OWA operator for multi-objective fuzzy scheduling problems, we should assign the weight vector w in advance. Therefore, we propose a rule-based weight definition method in order to reduce the effort to define the weight values in the OWA operator. In our multi-objective fuzzy scheduling problems, we take account of the importance of each job. That is, we use a different unit reward for the satisfaction grade of each job. We employ a genetic algorithm to maximize the fitness function, which is the function with the OWA operator. Finally, we show that the introduction of the rule-based weight definition method is effective for finding solutions." @default.
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- W2121292076 date "2002-11-11" @default.
- W2121292076 modified "2023-09-26" @default.
- W2121292076 title "Rule-based weight definition for multi-objective fuzzy scheduling with the OWA operator" @default.
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- W2121292076 doi "https://doi.org/10.1109/iecon.2000.972434" @default.
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