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A methodology for controlling the information quality in interval-valued fusion processes: Theory and application

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00564675" target="_blank" >RIV/67985556:_____/22:00564675 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0950705122010565?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0950705122010565?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.knosys.2022.109963" target="_blank" >10.1016/j.knosys.2022.109963</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A methodology for controlling the information quality in interval-valued fusion processes: Theory and application

  • Original language description

    An important problem faced when dealing with imperfect information in fusion processes the uncer-tainty regarding values of the membership degrees to be employed in fuzzy modeling. In this scenario, one can apply interval-valued (iv) fuzzy sets, in which the membership degrees are represented by intervals. A recurrent issue is the situation in which the quality of information carried by the intervals, expressed by their widths, suffers degradation during the fusion process. So, the main objective of this paper is to develop a general framework to construct iv-fusion functions whose outputs conserve the information quality of the operated intervals. To achieve that, first, extend important concepts such as width-limiting functions and width-limited iv-functions to the n-dimensional context. Then, we present a characterization for any subclass of increasing fusion function by their set of properties, followed by the interval extension of such characterization to obtain classes of width-limited iv-fusion functions. We show that our methodology is general enough to retrieve several classes of iv-aggregation functions from the literature. Two approaches for constructing width-limited iv-fusion functions are also presented, which enables the application of different subclasses of width-limited iv-fusion functions in fusion/aggregation processes with imperfect information. Finally, we present a case study on a classification problem. Specifically, we use IVTURS, a state-of-the-art iv-fuzzy rule-based classification system, and a particular subclass of width-limited iv-fusion functions (n-dimensional width-limited iv-overlap functions), showing that the control of the information quality through width limitation significantly enhances the accuracy of the classifier.

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Knowledge-Based System

  • ISSN

    0950-7051

  • e-ISSN

    1872-7409

  • Volume of the periodical

    258

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    22

  • Pages from-to

    109963

  • UT code for WoS article

    000880093300017

  • EID of the result in the Scopus database

    2-s2.0-85140292178