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Comparing Built-in Power Banks for a Smart Backpack Design Using an Auto-Weighting Fuzzy-Weighted-Intersection FAHP Approach

Author

Listed:
  • Hsin-Chieh Wu

    (Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung 413310, Taiwan)

  • Tin-Chih Toly Chen

    (Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu 30010, Taiwan)

  • Chin-Hau Huang

    (Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu 30010, Taiwan)

  • Yun-Cian Shih

    (Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu 30010, Taiwan)

Abstract

Smart backpacks are a prevalent application of smart technologies, with functions such as motion recording, navigation, and energy harvesting and provision. Selecting a suitable built-in power bank is a critical task for a smart backpack design, which has rarely been investigated in the past. To fulfill this task, an auto-weighting fuzzy-weighted-intersection fuzzy analytic hierarchy process (FAHP) approach is proposed in this study. When decision makers lack an overall consensus, the auto-weighting fuzzy-weighted-intersection FAHP approach specifies decision makers’ authority levels according to the consistency ratios of their judgments. In this way, the consensus among all decision makers can be sought. The auto-weighting fuzzy-weighted-intersection FAHP approach has been applied to compare six mobile power banks for a smart backpack design.

Suggested Citation

  • Hsin-Chieh Wu & Tin-Chih Toly Chen & Chin-Hau Huang & Yun-Cian Shih, 2020. "Comparing Built-in Power Banks for a Smart Backpack Design Using an Auto-Weighting Fuzzy-Weighted-Intersection FAHP Approach," Mathematics, MDPI, vol. 8(10), pages 1-22, October.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1759-:d:426983
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    References listed on IDEAS

    as
    1. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    2. Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
    3. Kacprzyk, Janusz & Fedrizzi, Mario, 1988. "A `soft' measure of consensus in the setting of partial (fuzzy) preferences," European Journal of Operational Research, Elsevier, vol. 34(3), pages 316-325, March.
    4. Tin-Chih Toly Chen & Yu-Cheng Wang & Chin-Hau Huang, 2020. "An Evolving Partial Consensus Fuzzy Collaborative Forecasting Approach," Mathematics, MDPI, vol. 8(4), pages 1-19, April.
    5. Yu-Cheng Wang & Tin-Chih Toly Chen, 2019. "A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example," Mathematics, MDPI, vol. 7(2), pages 1-15, February.
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