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Innovative Management in Information and Production pp 283–290Cite as

The Application of Fuzzy Interval Correlation Evaluating the Relationship Between Transportation Engineering and Air Pollution

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Abstract

To evaluate a proper correlation coefficient with fuzzy data is an important topic in the transportation engineering, especially when the data illustrate uncertain, inconsistent, and incomplete type. In general, we use Pearson’s correlation coefficient to measure the correlation of data with real values. However, when the data are composed of fuzzy interval values, it is not feasible to use such a classical approach to determine the correlation coefficient. This study proposes the computation of fuzzy correlation coefficient with fuzzy interval data. Empirical studies are employed to explain the application for evaluating fuzzy correlation. More related practical phenomena can be explained using the application of fuzzy correlation.

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Author information

Authors and Affiliations

  1. Department of Statistics National, Chengchi University, Muzha, Taipei, Taiwan, 116

    Yu-Ting Cheng & Chih-Ching Yang

Authors
  1. Yu-Ting Cheng
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  2. Chih-Ching Yang
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Corresponding author

Correspondence to Yu-Ting Cheng .

Editor information

Editors and Affiliations

  1. Waseda University, Hibikino, Wakamatsu-ku, Kitakyushu-City 2-7, Fukuoka, 808-0135, Japan

    Junzo Watada

  2. Research Institute of Quantitative Econo, Zhejiang Gongshang University, Jiaogong Road, Hangzhou 149, Zhejiang Province, 310012, China, People's Republic

    Bing Xu

  3. , Dept. of Mathematical Sciences, National Chengchi University, ZhiNan Rd. 64Sec.2, Taipei City, 11605, Taiwan R.O.C.

    Berlin Wu

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© 2014 Springer Science+Business Media New York

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Cheng, YT., Yang, CC. (2014). The Application of Fuzzy Interval Correlation Evaluating the Relationship Between Transportation Engineering and Air Pollution. In: Watada, J., Xu, B., Wu, B. (eds) Innovative Management in Information and Production. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4857-0_31

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  • DOI: https://doi.org/10.1007/978-1-4614-4857-0_31

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4856-3

  • Online ISBN: 978-1-4614-4857-0

  • eBook Packages: EngineeringEngineering (R0)

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