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- W1945287612 abstract "Abstract Over the past two decades, an upward trend has been observed in the use of industrial robots because of the global competitive needs for higher quality, productivity, and flexibility, as well as for health and safety. In this article, a knowledge‐based decision framework, which integrates an expert system and a decision‐support system, is proposed to enhance the quality and efficiency of the robot selection decisions. A multicriteria decision making (MCDM) methodology is used in the expert decision system because the expert system usually provides a short list of robot alternatives based on the technical aspects, and an appropriate MCDM technique is required to evaluate the shortlist of alternatives and determine the robot that best meets the user requirements. The developed decision‐support system integrates user demands with essential robot attributes that employs quality function deployment (QFD) and fuzzy linear regression. The proposed decision framework possesses advantages compared with the techniques previously proposed for robot selection. The merits of the proposed framework can be noted as incorporating expert knowledge to a difficult problem, enabling both user requirements that are generally qualitative and robot characteristics to be considered in the robot selection process by adopting the QFD principles, taking into account also the relationships between robot characteristics and thus disregarding the unrealistic preferential independence assumption frequently encountered in earlier robot selection studies, and performing the parameter estimations of the abovementioned functional relationships by fuzzy regression that is suitable for considering high system fuzziness. A robot selection example is presented to illustrate the integrated decision framework." @default.
- W1945287612 created "2016-06-24" @default.
- W1945287612 creator A5068301919 @default.
- W1945287612 date "2008-09-15" @default.
- W1945287612 modified "2023-10-01" @default.
- W1945287612 title "Expert Decision System for Robot Selection" @default.
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- W1945287612 doi "https://doi.org/10.1002/9780470050118.ecse359" @default.
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