<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomena which can not be modeled by the theory of probability or interval mathematics. We define fuzzy sets as sets where the boundary of the set is unclear and depends on subjective estimation or individual preference. In addition to the standard interpretation scale, described above, a set of numbers to each qualitative attribute must be assigned. In addition to the standard interpretation scale a set of numbers to each qualitative attribute must be assigned. First of all, it is necessary to determine the procedure for determining fuzzy numbers describing the attributes. One of the imperfections of the fuzzy sets is subjectivism when defining the boundaries of fuzzy sets and functions of belonging, which can significantly influence the final decision. The decision maker’s subjectivity is also present in the determination of weighted coefficients. However, in case of giving weight, fixed values are necessary. Some decisions require multidisciplinary knowledge, so the decision-making process includes more group decision-makers, who independently give their grades.</p></abstract>

The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomena which can not be modeled by the theory of probability or interval mathematics. We define fuzzy sets as sets where the boundary of the set is unclear and depends on subjective estimation or individual preference. In addition to the standard interpretation scale, described above, a set of numbers to each qualitative attribute must be assigned. In addition to the standard interpretation scale a set of numbers to each qualitative attribute must be assigned. First of all, it is necessary to determine the procedure for determining fuzzy numbers describing the attributes. One of the imperfections of the fuzzy sets is subjectivism when defining the boundaries of fuzzy sets and functions of belonging, which can significantly influence the final decision. The decision maker’s subjectivity is also present in the determination of weighted coefficients. However, in case of giving weight, fixed values are necessary. Some decisions require multidisciplinary knowledge, so the decision-making process includes more group decision-makers, who independently give their grades.

Fuzzification - Decision Making in Terms of Uncertainty

ECONOMICS

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Fuzzification - Decision Making in Terms of Uncertainty"}

The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomena which can not be modeled by the theory of probability or...

Fuzzification - Decision Making in Terms of Uncertainty

Online veröffentlicht: 03. Jan. 2019

Seitenbereich: 87 - 94

Eingereicht: 05. Aug. 2018

Akzeptiert: 16. Nov. 2018

DOI: https://doi.org/10.2478/eoik-2018-0022

Schlüsselwörter
fuzzification, uncertainty, qualitative attributes, weight coefficients

© 2018 Željko V. Račić, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Fuzzification - Decision Making in Terms of Uncertainty

Online veröffentlicht: 03. Jan. 2019

Seitenbereich: 87 - 94

Eingereicht: 05. Aug. 2018

Akzeptiert: 16. Nov. 2018

DOI: https://doi.org/10.2478/eoik-2018-0022

Schlüsselwörterfuzzification, uncertainty, qualitative attributes, weight coefficients

© 2018 Željko V. Račić, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
fuzzification, uncertainty, qualitative attributes, weight coefficients