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Many researchers have dealt with this kind of problem using fuzzy approaches, DEA models with interval data or probabilistic models.
Based on literatures in recent years on DEA models with interval data, this paper aims at enhancing the interval efficiencies for inefficient DMUs.
Two target-based VIKOR models with interval data exist in the literature; however, the target values of attributes or ratings of alternatives on attributes are crisp numbers in the models and their formulations may have some limitations.
What is the difference lies that the driven memristive neural networks are recast into models with interval parameters when considering the fact that the parameters of memrisitve model are state-dependent, which lead to parameter mismatch issue when different initial values are given.
Fitting Markov models with interval censored data has been described in detail [ 18].
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To assess these quantities, we sampled the state of the models with intervals of 1 /10 of one time unit, and ran the simulations to obtain 105 samples.
A group decision-making model with interval multiplicative reciprocal matrices based on the geometric consistency index.
Consider a two-state model with interval length 5 where the rates alternate over time.
Sun et al. [22] proposed a bi-level mathematical model with interval objective and constraint functions for robust design optimization.
In view of limited uncertainty information, a time-dependent reliability estimation procedure that combines the determined crack growth model with interval mathematics is presented as a theoretical basis for structural damage tolerance design.
As an alternative to analyzing RGR, we also analyzed mean mass and individual mass as the response variable using a mixed effects model with interval date and larval identity as random effects variables.
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systems with interval
models with duration
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models with period
models with lag
models with time
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models with lags
models with timing
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model with interval
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