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Supplier Suitability Evaluation using the Fuzzy-Logic Based Expert System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F14%3A%230000182" target="_blank" >RIV/26867184:_____/14:#0000182 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Supplier Suitability Evaluation using the Fuzzy-Logic Based Expert System

  • Original language description

    Determination of suppliers? suitability is a complex decision-making task, requiring compliance with a number of various aspects. Its solution requires high-quality experience which included an expert with his mental decision-making model. For a computerrepresentation of the decision-making processes expert systems are intended to be used. Models of decision-making tasks have a linguistic form; to formalize their uncertainties the approaches of fuzzy sets mathematics and fuzzy logic are used. The hierarchical fuzzy-oriented expert system is introduced in the paper as well. Its decision-making function is focused on suppliers? suitability determining. Numerical simulations of its effectivity are presented.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP403%2F12%2F1811" target="_blank" >GAP403/12/1811: Unconventional Managerial's Decision-Making Methods Development in Enterprise Economics and Public Economy</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • 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 Management and Business Research

  • ISSN

    2228-7019

  • e-ISSN

  • Volume of the periodical

    41

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    5

  • Pages from-to

    1129-1133

  • UT code for WoS article

  • EID of the result in the Scopus database