Some Methods for Yager Preference Involved Aggregations in Multi-Criteria and Multi-Sources Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73609823" target="_blank" >RIV/61989592:15310/21:73609823 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333189710" target="_blank" >https://obd.upol.cz/id_publ/333189710</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218488521500252" target="_blank" >10.1142/S0218488521500252</a>
Alternative languages
Result language
angličtina
Original language name
Some Methods for Yager Preference Involved Aggregations in Multi-Criteria and Multi-Sources Evaluation
Original language description
OWA operators and related aggregation techniques generally focus on input vector with a linear ordering. However, in commonly faced multi-criteria and multi-sources evaluation and decision making, the inputs involved form an evaluation matrix. Considering the fact that the data under evaluation are all with two dimensional meanings, this study explores and proposes four novel preference involved aggregation techniques by using RIM quantifiers and OWA operators. The first two models are both with two steps to carry out the aggregation processes, with one using two times of OWA operators and another considering evaluation matrix as a vector lattice. The last two models come from a whole perspective to direct the aggregation processes, with one arising from a global magnitude view and another based on staggered ordering using two specially defined collections of permutations. Illustrative examples and remarks are also spotted immediately following the proposed models or at suitable positions.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-06915S" target="_blank" >GA18-06915S: New approaches to aggregation operators in analysis and processing of data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
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 UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
ISSN
0218-4885
e-ISSN
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Volume of the periodical
29
Issue of the periodical within the volume
4
Country of publishing house
SG - SINGAPORE
Number of pages
16
Pages from-to
587-602
UT code for WoS article
000680408800005
EID of the result in the Scopus database
2-s2.0-85112014798