It is not objective to rate the decision-making factors in the traditional failure mode and effect analysis,so fuzzy semantic theory is used in this paper.Six fuzzy semantic scales and their corresponding semantics ar...It is not objective to rate the decision-making factors in the traditional failure mode and effect analysis,so fuzzy semantic theory is used in this paper.Six fuzzy semantic scales and their corresponding semantics are summarized,and a defuzzification method is studied to obtain the fuzzy value table of the six fuzzy semantic scales.For the conflicts between experts in the traditional failure mode and effects analysis,a conflict-resolution algorithm is studied to obtain the failure risk order.Finally,a certain type of industrial valve is used as an example to prove the validity of the theory proposed in this paper.展开更多
This study explores the impact of bionic design features on the emotional resonance and ecological identity of residents in the optimization of rural human settlement environments,by employing quantitative analysis ba...This study explores the impact of bionic design features on the emotional resonance and ecological identity of residents in the optimization of rural human settlement environments,by employing quantitative analysis based on a fuzzy semantic computing model.An examination of three bionic design features-morphological differences,material integration,and functional interaction-showed that these features significantly influence the emotional resonance and ecological identity of residents.While fulfiling aesthetic and functional needs,morphological differences and material integration foster emotional connections between residents and their environment,thereby enhancing ecological identity.Functional interactivity plays a key role in promoting social interactions and improving the overall living experience.The effects of these design features on emotional resonance and ecological identity were quantified using fuzzy semantic computing,with the results further verifying their effectiveness.Fuzzy semantic computing offers a novel perspective and methodology for the quantitative evaluation of complex design features.This study provides a theoretical foundation for the design and optimization of rural human settlements in the future,and offers valuable insights for both academic research and practical applications in related fields.展开更多
基金National Natural Science Foundation of China(No.51565019)the Scientific Research Start-Up Program of Tongji University,China(No.20141110)
文摘It is not objective to rate the decision-making factors in the traditional failure mode and effect analysis,so fuzzy semantic theory is used in this paper.Six fuzzy semantic scales and their corresponding semantics are summarized,and a defuzzification method is studied to obtain the fuzzy value table of the six fuzzy semantic scales.For the conflicts between experts in the traditional failure mode and effects analysis,a conflict-resolution algorithm is studied to obtain the failure risk order.Finally,a certain type of industrial valve is used as an example to prove the validity of the theory proposed in this paper.
文摘This study explores the impact of bionic design features on the emotional resonance and ecological identity of residents in the optimization of rural human settlement environments,by employing quantitative analysis based on a fuzzy semantic computing model.An examination of three bionic design features-morphological differences,material integration,and functional interaction-showed that these features significantly influence the emotional resonance and ecological identity of residents.While fulfiling aesthetic and functional needs,morphological differences and material integration foster emotional connections between residents and their environment,thereby enhancing ecological identity.Functional interactivity plays a key role in promoting social interactions and improving the overall living experience.The effects of these design features on emotional resonance and ecological identity were quantified using fuzzy semantic computing,with the results further verifying their effectiveness.Fuzzy semantic computing offers a novel perspective and methodology for the quantitative evaluation of complex design features.This study provides a theoretical foundation for the design and optimization of rural human settlements in the future,and offers valuable insights for both academic research and practical applications in related fields.
