IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v25y2012i4p869-904.html
   My bibliography  Save this article

Using A Integrated MCDM Model for Mining Method Selection in Presence of Uncertainty

Author

Listed:
  • Abdolreza Yazdani-Chamzini
  • Siamak Haji Yakchali
  • Edmundas Kazimieras Zavadskas

Abstract

The aim objective of this study is to model mining method selection problem for a real world case in Angouran mine which is one of the major zinc producers in Iran. According to many problems of ore body extraction are direct or indirect depend on underground mining method, this issue is one of the most critical decisions in the design stage of mine that should be made. A number of the evaluation criteria that often are in conflicting with each other exist for evaluating feasible mining methods. Therefore, the problem of mining method selection is a multi-criteria decision making (MCDM) issue.On the other hand, according to the sophisticated structure of the problem, imprecise data,less of information, and inherent uncertainty, the usage of the fuzzy sets can be useful. In this paper an integrated model based on fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) is developed. FAHP is applied to determine the relative weights of the evaluation criteria for mining method selection that these weights are inserted to the FTOPSIS technique to rank the alternatives and select the most appropriate alternative. The study was followed by the sensitivity analysis of the results. The results of th is study the efficiency, capability, and robustness of the proposed model, which can be applied to different types of sophisticated probelms in reality.

Suggested Citation

  • Abdolreza Yazdani-Chamzini & Siamak Haji Yakchali & Edmundas Kazimieras Zavadskas, 2012. "Using A Integrated MCDM Model for Mining Method Selection in Presence of Uncertainty," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 25(4), pages 869-904, January.
    • Handle: RePEc:taf:reroxx:v:25:y:2012:i:4:p:869-904
    DOI: 10.1080/1331677X.2012.11517537
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2012.11517537
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1331677X.2012.11517537?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Xiaohong & Yang, Shuhan & Hu, Dongbin & Li, Xihua, 2024. "Sustainable mining method selection by a multi-stakeholder collaborative multi-attribute group decision-making method," Resources Policy, Elsevier, vol. 92(C).
    2. Jahanbani, Zeinab & Ataee-pour, Majid & Mortazavi, Ali, 2024. "Application of Z-numbers theory to study the influencing criteria in underground mining method selection," Resources Policy, Elsevier, vol. 88(C).

    More about this item

    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:taf:reroxx:v:25:y:2012:i:4:p:869-904. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rero .

    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.