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 interval mathematics. We define fuzzy sets as sets where the boundary of the set is unclear and depends on subjective estimation or individual pref...
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Oikos Institute-Researh Center Bijeljina
2018-12-01
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Online Access: | https://doi.org/10.2478/eoik-2018-0022 |
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doaj-6e78d70fc9ed40b68d55cae408d04f4d2021-09-05T21:00:50ZengOikos Institute-Researh Center BijeljinaECONOMICS2303-50132018-12-0162879410.2478/eoik-2018-0022eoik-2018-0022Fuzzification - Decision Making in Terms of UncertaintyRačić Željko V.0University of Banja Luka, Faculty of Economics, Republic of Srpska, BiHThe 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.https://doi.org/10.2478/eoik-2018-0022fuzzificationuncertaintyqualitative attributesweight coefficientsc00 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Račić Željko V. |
spellingShingle |
Račić Željko V. Fuzzification - Decision Making in Terms of Uncertainty ECONOMICS fuzzification uncertainty qualitative attributes weight coefficients c00 |
author_facet |
Račić Željko V. |
author_sort |
Račić Željko V. |
title |
Fuzzification - Decision Making in Terms of Uncertainty |
title_short |
Fuzzification - Decision Making in Terms of Uncertainty |
title_full |
Fuzzification - Decision Making in Terms of Uncertainty |
title_fullStr |
Fuzzification - Decision Making in Terms of Uncertainty |
title_full_unstemmed |
Fuzzification - Decision Making in Terms of Uncertainty |
title_sort |
fuzzification - decision making in terms of uncertainty |
publisher |
Oikos Institute-Researh Center Bijeljina |
series |
ECONOMICS |
issn |
2303-5013 |
publishDate |
2018-12-01 |
description |
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. |
topic |
fuzzification uncertainty qualitative attributes weight coefficients c00 |
url |
https://doi.org/10.2478/eoik-2018-0022 |
work_keys_str_mv |
AT raciczeljkov fuzzificationdecisionmakingintermsofuncertainty |
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1717782166439460864 |