Fuzzy Decision Matrix in Case of Two Risk Factors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73589288" target="_blank" >RIV/61989592:15310/18:73589288 - isvavai.cz</a>
Result on the web
<a href="https://mme2018.fm.vse.cz/wp-content/uploads/2018/09/MME2018-Electronic_proceedings.pdf" target="_blank" >https://mme2018.fm.vse.cz/wp-content/uploads/2018/09/MME2018-Electronic_proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Decision Matrix in Case of Two Risk Factors
Original language description
A decision matrix models a particular problem of decision-making under risk. Elements of the matrix express outcomes of alternatives if the particular states of the world occur. The alternatives are usually compared on the basis of the expected values and variances of their outcomes. In the paper, we study the case where the states of the world are given by possible combinations of the vaguely defined states of two risk factors. We assume that probability distributions of the risk factors are known and their states are expressed by fuzzy sets. Furthermore, we consider the outcomes of alternatives under the particular states of the world to be expressed by fuzzy numbers. We show that in such a case a fuzzy decision matrix can be understood as a collection of fuzzy rule-based systems. We derive the proper formulas for computing the fuzzy expected values and variances of the outcomes of alternatives.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
36th International Conference Mathematical Methods in Economics
ISBN
978-80-7378-371-6
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
383-388
Publisher name
MatFyzPress, MFF Univerzity Karlovy
Place of publication
Praha
Event location
Jindřichův Hradec
Event date
Sep 12, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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