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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Main Author: Račić Željko V.
Format: Article
Language:English
Published: Oikos Institute-Researh Center Bijeljina 2018-12-01
Series:ECONOMICS
Subjects:
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Online Access:https://doi.org/10.2478/eoik-2018-0022
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spelling 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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