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Fixing Inconsistent Saaty's Matrix using Nonlinear Optimization Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A91299" target="_blank" >RIV/60460709:41110/22:91299 - isvavai.cz</a>

  • Result on the web

    <a href="https://euro2022espoo.com/conference-programme/" target="_blank" >https://euro2022espoo.com/conference-programme/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fixing Inconsistent Saaty's Matrix using Nonlinear Optimization Model

  • Original language description

    We revisit the famous Saatys AHP method, where the data inconsistency issue is often present. Saatys pairwise comparison matrix is considered inconsistent if the transitivity of preferences between criteria is not satisfied to an acceptable level. There are ways of measuring the level of matrix inconsistency. When the inconsistency reaches over the critical threshold, it is necessary to make adjustments to the original data. This may be impossible because 1) the decision-maker is not available anymore for re-evaluation 2) the decision-maker is not capable of doing so as it may be hard to recognize the cause of inconsistency, especially in larger matrices. There are various ways of fixing inconsistency in the literature. We propose our own approach, different from the existing one, based on a non-linear optimization model. We suggest changing the original data as little as possible to preserve most of the original information while reaching an acceptable inconsistency level. Our optimization problem i

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    EURO 2022 Abstract Book

  • ISBN

    978-951-95254-1-9

  • ISSN

  • e-ISSN

  • Number of pages

    1

  • Pages from-to

    84-84

  • Publisher name

    Aalto University, Espoo Finland

  • Place of publication

    Espoo

  • Event location

    Espoo

  • Event date

    Jul 3, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article