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Is the EU’s Resource Base of Copper Ore Deposits Large? A Fuzzy Set Theory Approach

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  • Mariusz Krzak

    (Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland)

Abstract

Copper raw materials have not been identified as a critical raw material for the economy of the European Union (EU). Demand for metal for use within the EU is satisfied mainly by imports of raw materials in various processing stages and from recycling. Imports include not only copper concentrates, but also refined metals, alloys, and intermediate and finished products. In terms of EU imports, mining supplies represent a minor share of demand. It is likely that copper demand will grow in the coming decades and that global as well as European reserves of copper will be depleted more rapidly. For Europe, no complete and harmonised dataset presenting estimates of total EU copper resources and reserves exists, with the exception of the attempted Minerals4EU project. In colloquial language, many imprecise concepts aim at describing reality. Classic probability tools cannot be used to describe imperfect information. There are no sharp thresholds between the boundaries of many measurements; instead, smooth transitions are observed. This gradation between full and partial membership and non-membership is not included in classical set theory; thus, the capacity for describing such effects is provided by fuzzy set theory. An attempt is made in the present paper at a fuzzy description of the copper reserve base in the EU countries. The basic terminology of fuzzy sets is presented and useful logical operators are indicated. The copper reserve base in the EU countries was assessed in relation to world reserves and an appraisal of this base within these countries was carried out.

Suggested Citation

  • Mariusz Krzak, 2021. "Is the EU’s Resource Base of Copper Ore Deposits Large? A Fuzzy Set Theory Approach," Resources, MDPI, vol. 10(2), pages 1-17, January.
    • Handle: RePEc:gam:jresou:v:10:y:2021:i:2:p:11-:d:487734
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    References listed on IDEAS

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    1. Pu Li & Xudong Chen & Xinyi Qu & Qi Xu, 2018. "The Evaluation of Mineral Resources Development Efficiency Based on Hesitant Fuzzy Linguistic Approach and Modified TODIM," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-9, January.
    2. Nadine Rötzer & Mario Schmidt, 2018. "Decreasing Metal Ore Grades—Is the Fear of Resource Depletion Justified?," Resources, MDPI, vol. 7(4), pages 1-14, December.
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