Network Survivability Evaluation Model Based on Immune Evolution and Multiple Criteria Decision Making

Due to nonlinear and multiscale characteristics of temperature time series, a new model called wavelet network model based on multiple criteria decision making (WNMCDM) has been proposed, which combines the advantage of wavelet analysis, multiple criteria decision making, and artificial neural network. One case for forecasting extreme monthly maximum temperature of Miyun Reservoir has been conducted to examine the performance of WNMCDM model. Compared with nearest neighbor bootstrapping regression (NNBR), the probability of relative error smaller than 10% increases from 65.79% to 84.21% (forecast periodT=1) and from 51.35% to 91.89%(T=2)by WNMCDM model. Similarly, the probability of relative error smaller than 20% increases from 84.21% to 97.37%(T=1)and from 81.08% to 91.89%(T=2)by WNMCDM model. Therefore, WNMCDM model is superior to NNBR model in forecasting temperature time series.

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Development of a Model based on Evaluation Considering Explicit and Implicit Element in Multiple Criteria Decision Making

Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems ◽

10.5220/0004905802710276 ◽

2014 ◽

Keyword(s):

Decision Making ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Model Based

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Multiple Criteria Decision Making and Prospective Scenarios Model for Selection of Companies to Be Incubated

Algorithms ◽

10.3390/a14040111 ◽

2021 ◽

Vol 14 (4) ◽

pp. 111

Author(s):

Altina S. Oliveira ◽

Carlos F. S. Gomes ◽

Camilla T. Clarkson ◽

Adriana M. Sanseverino ◽

Mara R. S. Barcelos ◽

...

Keyword(s):

Decision Making ◽

Evaluation Model ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Mcdm Method ◽

Selection Of

This paper proposes a model to evaluate business projects to get into an incubator, allowing to rank them in order of selection priority. The model combines the Momentum method to build prospective scenarios and the AHP-TOPSIS-2N Multiple Criteria Decision Making (MCDM) method to rank the alternatives. Six business projects were evaluated to be incubated. The Momentum method made it possible for us to create an initial core of criteria for the evaluation of incubation projects. The AHP-TOPSIS-2N method supported the decision to choose the company to be incubated by ranking the alternatives in order of relevance. Our evaluation model has improved the existing models used by incubators. This model can be used and/or adapted by any incubator to evaluate the business projects to be incubated. The set of criteria for the evaluation of incubation projects is original and the use of prospective scenarios with an MCDM method to evaluate companies to be incubated does not exist in the literature.

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