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The conversion of cost and benefit criteria in the TOPSIS method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F12%3A55470" target="_blank" >RIV/60460709:41110/12:55470 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The conversion of cost and benefit criteria in the TOPSIS method

  • Original language description

    Multiple attribute decision making (MADM) models involve both cost and benefit criteria. However, it is convenient to unify criteria type; this means to convert the cost criteria into benefit criteria or vice versa. There are several procedures for criteria type conversion. Unfortunately, these procedures are usually outside of the MADM methods? algorithms and some combinations of criteria type conversion method and the MADM method provide incorrect results. We focus on the method ?Technique for Order Preference by Similarity to Ideal Solution? (TOPSIS method) and the subtraction-based conversion procedure, which converts criterion type using the differences between criterion values and the maximum value in the criterion column. We find that this widely used procedure for criteria conversion can completely distort the results of the analysis. In this paper we suggest a new subtraction-based conversion procedure that is possible to combine with the TOPSIS method and receive correct resu

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • 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 Applied Decision Sciences

  • ISSN

    1755-8077

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    329-341

  • UT code for WoS article

  • EID of the result in the Scopus database