Multi-criteria three-way decisions considering requirements and targets based on qualitative and quantitative information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020369" target="_blank" >RIV/62690094:18450/23:50020369 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0957417423005419?pes=vor" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0957417423005419?pes=vor</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2023.120039" target="_blank" >10.1016/j.eswa.2023.120039</a>
Alternative languages
Result language
angličtina
Original language name
Multi-criteria three-way decisions considering requirements and targets based on qualitative and quantitative information
Original language description
In this paper, a novel multi-criteria three-way decision (TWD) method is devised to solve the problems of classification and sorting by considering requirements and targets based on qualitative and quantitative information. TWD theory has been generally utilized to handle multi-criteria decision-making problems. However, few studies on the TWD theory consider the requirements and targets of decision-makers. To fill this gap in the existing studies on the TWD theory, the conditional probability is computed based on the fuzzy axiomatic design and the target-based aggregation operator. A parameter is designed to reflect the preference degree of the basic requirements over the target values offered by the decision-maker. To meet the description needs of quantitative and qualitative attributes, the real numbers and the interval numbers are employed to describe the quantitative information, the interval-valued double hierarchy linguistic term sets are employed to express the qualitative information. The analytic hierarchy process method is utilized to calculate the weights of the criteria with interval-valued double hierarchy linguistic information. Following the maximum-utility principle, the classification and ranking of the objects are attained. Ultimately, a case study on the selection of algorithm engineers in the recruitment process verifies the practicability and effectiveness of the proposed method, and a comparative analysis with other methods proves the superiority of this method. © 2023 Elsevier Ltd
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Expert systems with applications
ISSN
0957-4174
e-ISSN
1873-6793
Volume of the periodical
224
Issue of the periodical within the volume
August
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
"Article number: 120039"
UT code for WoS article
000983244800001
EID of the result in the Scopus database
2-s2.0-85151784018