302 research outputs found
Probabilistic double hierarchy linguistic alternative queuing method for real economy development evaluation under the perspective of economic financialization
With the development of science and technology, the new road
of scientific economic and financial development has played a
decisive role in supporting the financial undertaking. To accelerate the economic development, it is very important to increase
the guiding role of financial undertaking in the real economy.
Therefore, it is necessary to promote the development of the real
economy under the perspective of economic financialization
based on some actions. To judge the implementation effect of
these actions, this paper develops a multiple criteria decisionmaking (MCDM) method to evaluate them. First, the decisionmaking matrices are established with the probabilistic double
hierarchy linguistic term set in which the probabilities are added
to all double hierarchy linguistic terms. Additionally, a weightdetermining method is developed to obtain the weight vector of
criteria, and we develop a MCDM method named the probabilistic
double hierarchy linguistic alternative queuing method (PDHLAQM), where the decision-making result is intuitive by a directed
graph or a 0–1 precedence relationship matrix. Furthermore, we
apply the PDHL-AQM to solve a practical MCDM problem involving the real economy development evaluation under the perspective of economic financialization. Finally, some comparative
analyses are made to show the advantages and reasonableness of
the PDHL-AQM
A probabilistic linguistic thermodynamic method based on the water-filling algorithm and regret theory for emergency decision making
Since thermodynamics can describe the energy of matter and its
form of storage or transformation in the system, it is introduced
to resolve the uncertain decision-making problems. The paper
proposes the thermodynamic decision-making method which
considers both the quantity and quality of the probabilistic linguistic
decision information. The analogies for thermodynamical
indicators: energy, exergy and entropy are developed under the
probabilistic linguistic circumstance. The probabilistic linguistic
thermodynamic method combines the regret theory which captures
decision makers’ regret-aversion and the objective weight of
criterion obtained by the water-filling algorithm. The proposed
method is applied to select the optimal solution to respond to
the floods in Chongqing, China. The self-comparison is conducted
to verify the effectiveness of the objective weight obtained by
the water-filling algorithm and regret theory in the probabilistic
linguistic thermodynamic method. The reliability and feasibility of
the proposed method are verified by comparative analysis with
other decision-making methods by some simulation experiments
and non-parametric tests
RISK PRIORITY EVALUATION OF POWER TRANSFORMER PARTS BASED ON HYBRID FMEA FRAMEWORK UNDER HESITANT FUZZY ENVIRONMENT
The power transformer is one of the most critical facilities in the power system, and its running status directly impacts the power system's security. It is essential to research the risk priority evaluation of the power transformer parts. Failure mode and effects analysis (FMEA) is a methodology for analyzing the potential failure modes (FMs) within a system in various industrial devices. This study puts forward a hybrid FMEA framework integrating novel hesitant fuzzy aggregation tools and CRITIC (Criteria Importance Through Inter-criteria Correlation) method. In this framework, the hesitant fuzzy sets (HFSs) are used to depict the uncertainty in risk evaluation. Then, an improved HFWA (hesitant fuzzy weighted averaging) operator is adopted to fuse risk evaluation for FMEA experts. This aggregation manner can consider different lengths of HFSs and the support degrees among the FMEA experts. Next, the novel HFWGA (hesitant fuzzy weighted geometric averaging) operator with CRITIC weights is developed to determine the risk priority of each FM. This method can satisfy the multiplicative characteristic of the RPN (risk priority number) method of the conventional FMEA model and reflect the correlations between risk indicators. Finally, a real example of the risk priority evaluation of power transformer parts is given to show the applicability and feasibility of the proposed hybrid FMEA framework. Comparison and sensitivity studies are also offered to verify the effectiveness of the improved risk assessment approach
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