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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

JOURNAL OF INTELLIGENT &amp; FUZZY SYSTEMS

ISSN

1064-1246

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

7921-7930

Kód UT WoS článku

000595520600141

EID výsledku v databázi Scopus

2-s2.0-85096953416