Vehicle shift quality evaluation is the basis of integrated control for shift quality. To overcome the shortcomings of traditional subjective evaluation method for vehicle shift quality, a new approach to shift quality subjective evaluation based on fuzzy logic and evidence theory is proposed in this paper. People's feeling is adopted as instrumentation in the proposed method. The results of subjective evaluation owned various expressive forms are quantified using fuzzy logic. And then group decision making with quantified subjective evaluation results from various drivers is combined by means of evidence theory. Computational results demonstrate that the proposed method can solve the vagueness and uncertainty of traditional subjective evaluation method and achieve vehicle shift quality subjective evaluation exactly and credibly, whose evaluation results have a good consistency with reality.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A new approach to vehicle shift quality subjective evaluation based on fuzzy logic and evidence theory


    Contributors:
    Chen, Gang (author) / Zhang, Weigong (author) / Gong, Zongyang (author) / Sun, Wei (author)


    Publication date :

    2009


    Size :

    4 Seiten, 11 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Subjective Evaluation of Vehicle Sound Quality

    Wang, Yansong / Guo, Hui / Yang, Chao | Springer Verlag | 2022


    Fuzzy shift logic for an automatic transmission system

    Weil,H.C. / Probst,G. / Graf,F. et al. | Automotive engineering | 1993


    Automatic Transmission Shift Schedule Control Using Fuzzy Logic

    Takahashi, Hiroshi / Yamaguchi, Hiroshi / Narita, Yasushi et al. | SAE Technical Papers | 1993


    Fuzzy shift logic for an automatic transmision system

    Weil, H.C.T. / Probst, G. / Graf, F. | Tema Archive | 1993


    Automatic transmission shift schedule control using fuzzy logic

    Yamaguchi,H. / Narita,Y. / Takahashi,H. et al. | Automotive engineering | 1993