Dynamic weights allocation according to uncertain evaluation information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001ZSU" target="_blank" >RIV/61988987:17610/19:A2001ZSU - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/abs/10.1080/03081079.2018.1543667?journalCode=ggen20" target="_blank" >https://www.tandfonline.com/doi/abs/10.1080/03081079.2018.1543667?journalCode=ggen20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/03081079.2018.1543667" target="_blank" >10.1080/03081079.2018.1543667</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic weights allocation according to uncertain evaluation information
Original language description
Weights allocation methods are critical in Multi-Criteria Decision Making. Given numerical importances for each involved criterion, direct normalizing those numerical importances to obtain weights for those criteria is plain, lack of flexibility, and thus cannot well model some more types of subjective preferences of different decision makers like Dominance Strength as defined in this study. We show that concave RIM quantifier Q based OWA weights allocation method can well handle and model such preference. However, in real decision making those numerical importances are very often embodied by uncertain information such as independent random variables with discrete or continuous distributions, statistic information and interval numbers. In any of those circumstances, simple RIM quantifier Q based OWA weights allocation cannot work. Therefore, in this study, we will propose some special dynamic weights allocation methods to gradually allocate weights and accumulate allocated parts to each criterion, and finally, obtain a total weights collection. When the uncertain numerical importances become equivalent to general real numbers, the method automatically degenerates into general RIM quantifier based OWA weights allocation. The innovative weight allocations have discrete and continuous versions: the former can be well programmed while the latter has neat and succinct mathematical expression. The method can also be widely used in many other applications like some economic problems including investment quota allocation for one's favorite stocks, and the dynamic OWA aggregation for interval numbers.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
ISSN
0308-1079
e-ISSN
1563-5104
Volume of the periodical
48
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
33-47
UT code for WoS article
000451834000002
EID of the result in the Scopus database
2-s2.0-85057341873