Uncertainty modeling using intuitionistic fuzzy numbers
Introduction/purpose: The paper discusses the selection of the most optimal supplier using the example of an unmanned aircraft when the decision maker has data of a qualitative nature. Problems that arise in practice in the selection of suppliers relate to the selection of adequate criteria as w...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
University of Defence in Belgrade
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c0adf021a69e4591addefbe71bb9bc54 |
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| Sumario: | Introduction/purpose: The paper discusses the selection of the most
optimal supplier using the example of an unmanned aircraft when the
decision maker has data of a qualitative nature. Problems that arise in
practice in the selection of suppliers relate to the selection of adequate
criteria as well as the way they are evaluated by the decision maker. One
of the ways of assessing the criteria of a qualitative character is the usage
of linguistic expressions, which gives decision makers the freedom to
express their position and opinion through descriptive assessments. This
method of assessment is not the most accurate and can introduce a
certain amount of uncertainty for the decision maker.
Methods: To solve the problem of uncertainty, the paper proposes a
method of modeling data using intuitive fuzzy numbers. Intuitive fuzzy
numbers are suitable for solving the problem of uncertainty in situations
when it is necessary to review safety during the assessment. To rank
suppliers, the ELECTRE method is used, which is adapted to intuitive
fuzzy numbers (IF ELECTRE). The IF ELECTRE method was chosen
because it clearly presents the potential of all suppliers, i.e. their
advantages and disadvantages in relation to the required criteria.
Results: Using IF ELECTRE, the final results provide a shape of mutual
preference or indifference between suppliers. The ranking clearly shows
the potential of all suppliers, which in a future procurement can serve as a
reference for decision making.
Conclusion: The contribution of this paper is reflected in the proposed
model that can be used in practice to solve not only the problem of
supplier selection, but also similar problems where the decision is made
based on inaccurate data. Using these models seeks to reduce indecision
and subjectivity in decision making. |
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