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On the properties of the fuzzy weighted average of fuzzy numbers with normalized fuzzy weights

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73607791" target="_blank" >RIV/61989592:15310/21:73607791 - isvavai.cz</a>

  • Alternative codes found

    RIV/26867184:_____/21:N0000009

  • Result on the web

    <a href="https://ijfs.usb.ac.ir/article_6173_97e5e9d3db17c8b02c64af90288bbd34.pdf" target="_blank" >https://ijfs.usb.ac.ir/article_6173_97e5e9d3db17c8b02c64af90288bbd34.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22111/ijfs.2021.6173" target="_blank" >10.22111/ijfs.2021.6173</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the properties of the fuzzy weighted average of fuzzy numbers with normalized fuzzy weights

  • Original language description

    Weighted average with normalized weights is a widely used aggregation operator that takes into account the varying degrees of importance of the numbers in a data set. It possesses some important properties, like monotonicity, continuity, additivity, etc., that play an important role in practical applications. The inputs of the aggregation as well as the normalized weights are usually not known precisely. In such a case, their values can be expressed by fuzzy numbers, and the fuzzy weighted average of fuzzy numbers with normalized fuzzy weights needs to be employed in the model. The aim of the paper is to reveal whether and in which way the properties of the weighted average operator can be observed also for its fuzzy extension. It is shown that it possesses three conditions characteristic for aggregation operators - identity, monotonicity and boundary conditions, and besides that, also compensation, idempotency, stability for linear transformation, 1-lipschitzianity, and continuity. Furthermore, it is proved that it preserves strict monotonicity in case of positive fuzzy weights, and symmetry in case of equal fuzzy weights, although it does not coincide with the fuzzy arithmetic mean operator in such a case. One of the most valuable result of the study is the fact that in contrast to the crisp weighted average operator, it is not additive. The importance of the obtained results is discussed and illustrated by several illustrative examples.

  • 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

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Iranian Journal of Fuzzy Systems

  • ISSN

    1735-0654

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    IR - IRAN, ISLAMIC REPUBLIC OF

  • Number of pages

    17

  • Pages from-to

    1-17

  • UT code for WoS article

    000654276900001

  • EID of the result in the Scopus database

    2-s2.0-85107621684