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This paper proposes a novel method for solving the stochastic multiple attribute decision making (SMADM) problem, where consequences of alternatives with respect to attributes are represented by random variables with cumulative distribution functions. First, the concepts of ideal and anti-ideal cumulative distribution functions are introduced, and the related theoretical analysis is given. Next, according...
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