Two-level multi-criteria comprehensive evaluation for preference vectors in online shopping platform evaluation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73603862" target="_blank" >RIV/61989592:15310/20:73603862 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333183748" target="_blank" >https://obd.upol.cz/id_publ/333183748</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/JIFS-201376" target="_blank" >10.3233/JIFS-201376</a>

Result language
angličtina
Original language name
Two-level multi-criteria comprehensive evaluation for preference vectors in online shopping platform evaluation
Original language description
The evaluation for online shopping platform is the basis for further decision and policy taking. The collected individual opinion and evaluation information are often represented by some linguistic/preference vectors. Further aggregating those vector needs to simultaneously consider two contradictory factors: the original weights assigned and the inconsistencies involved which requires some new weights assigned. Around those weights allocation factors, to mitigate the negative effect of inconsistency in the collected information, we propose an integrated evaluation model. The model uses the scatter degree as a main indicator, and extends some weights allocation methods such as regular increasing monotone (RIM) quantifier based weights allocation in a new environment, and applies the three sets expression based paradigm and formulation. The proposed model is able to simultaneously give emphasis on those input data with high consistency and to consider the preferences of decision makers. Some detailed evaluation processes and numerical examples are also provided for practitioners to refer to.
Czech name
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Czech description
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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)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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