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Cognitive Consistency in Uncertain and Preference Involved Weights Determination

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F24%3AA25038K9" target="_blank" >RIV/61988987:17610/24:A25038K9 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.worldscientific.com/doi/10.1142/S0218488524500107" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218488524500107</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218488524500107" target="_blank" >10.1142/S0218488524500107</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cognitive Consistency in Uncertain and Preference Involved Weights Determination

  • Original language description

    In uncertain information environment, bi-polar preferences can be elicited from experts and processed to be exerted over some weights determination for multiple-agents evaluation. Recently, some weighting methodologies and models in uncertain and preference involved environment with multiple opinions from multiple experts are proposed in some literature. However, in that existing method, when collecting different types of preferences from a single expert, sometimes some subtle cognitive inconsistency may occur. To eliminate such inconsistency, this work elaborately analyzes the possible reasons and proposes some amendment together with a new distinguishable set of formulations for modeling. In addition, we further consider two situations of the weighting models for the problem, with one only considering the situation of single expert with no risk of cognitive inconsistency and the other considering the case of multiple experts wherein some inconsistency might occur. Numerical example and comparison are also presented accordingly.

  • 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

    10101 - Pure mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • 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 SystemsVolume 32, Issue 2, Pages 255 - 2691 March 2024

  • ISSN

    0218-4885

  • e-ISSN

    1793-6411

  • Volume of the periodical

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    15

  • Pages from-to

    255-269

  • UT code for WoS article

    001205804900004

  • EID of the result in the Scopus database

    2-s2.0-85191046528