IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v30y2002i6d10.1007_s00267-002-2673-z.html

Fuzzy Multiple-Criteria Decision-Making Approach for Industrial Green Engineering

Author

Listed:
  • HUA-KAI CHIOU

    (Department of Statistics, College of Management, National Defense University, P.O. Box 90046-15 Chungho, Taipei 235, Taiwan)

  • GWO-HSHIUNG TZENG

    (Institute of Technology Management, and, Energy and Environmental Research Group, College of Management, National Chiao Tung University, 1001, Ta-Hsuch Rd., Hsinchu 300, Taiwan)

Abstract

This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a nonadditive fuzzy integral technique to evaluate a green engineering industry case as a fuzzy multicriteria decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as economic effectiveness, technical feasibility, and environmental regulation, it can be regarded as an FMCDM problem. Since stakeholders cannot clearly estimate each considered criterion in terms of numerical values for the anticipated alternatives/strategies, fuzziness is considered to be applicable. Consequently, this paper uses triangular fuzzy numbers to establish weights and anticipated achievement values. By ranking fuzzy weights and fuzzy synthetic utility values, we can determine the relative importance of criteria and decide the best strategies. This paper applies what is called a λ fuzzy measure and nonadditive fuzzy integral technique to evaluate the synthetic performance of green engineering strategies for aquatic products processors in Taiwan. In addition, we demonstrate that the nonadditive fuzzy integral is an effective evaluation and appears to be appropriate, especially when the criteria are not independent.

Suggested Citation

  • Hua-Kai Chiou & Gwo-Hshiung Tzeng, 2002. "Fuzzy Multiple-Criteria Decision-Making Approach for Industrial Green Engineering," Environmental Management, Springer, vol. 30(6), pages 0816-0830, December.
    • Handle: RePEc:spr:envman:v:30:y:2002:i:6:d:10.1007_s00267-002-2673-z
    DOI: 10.1007/s00267-002-2673-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-002-2673-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s00267-002-2673-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envman:v:30:y:2002:i:6:d:10.1007_s00267-002-2673-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.