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Keeping in view the research works on industrial robot selection, a subjective and objective integrated multiple attribute decision making method is proposed in this paper for the purpose of robot selection.
The developed multi-criteria decision making method is based on Quality Function Deployment and the Analytic Network Process, involving benefits, risks, opportunities and costs.
In this paper, a fuzzy multi-attribute decision making method is developed for assessing technologies to determine their suitability for application in modular product platforms.
TOPSIS, a multi-criteria decision making method is used in the model to identify the optimal system based on the priority rating of the criteria and the designs that are feasible according to the main parameters.
In the proposed design method, the LTLCL switching ripple suppressor design problem is treated as a many-objective optimization problem with constraints, and an evolutionary algorithm is designed to solve this problem, furthermore, a general decision making method is used to select the final design scheme.
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Finally the traffic aid decision making method was verified by examples.
Based on the theoretical model, the multi attribute decision making method was employed to provide suggestions for membrane material selection of gas water recycling in the experimental researches as well as in the engineering applications.
The number of real applications of interactive multiple criteria decision making methods is still modest despite the existence of computer realizations which operationalize them.
Many decision making methods are being proposed to facilitate the decision making process.
In this paper, multiple criteria decision making methods are studied in the context of building design.
In addition, the possibility to perform multi-objective optimisation analysis based on genetic-algorithms combined with multi-criteria decision making methods was included within the simulation framework.
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