XOR analytic hierarchy process and its application in the renewable energy sector

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10245947" target="_blank" >RIV/61989100:27510/20:10245947 - isvavai.cz</a>
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S0305048318303050?token=75181B76918623F0071B7DF509329D57C60C1B9BB6B05D6AFAC78A40B861313CF95259925064F93552E5A791B7671DF8" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S0305048318303050?token=75181B76918623F0071B7DF509329D57C60C1B9BB6B05D6AFAC78A40B861313CF95259925064F93552E5A791B7671DF8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.omega.2019.06.008" target="_blank" >10.1016/j.omega.2019.06.008</a>

Result language
angličtina
Original language name
XOR analytic hierarchy process and its application in the renewable energy sector
Original language description
Uncertainty is a ubiquitous and inherent feature of the decision-making process. This paper proposes a new method called the XOR-analytical hierarchy process (XOR-AHP) to solve multi-criteria decision-making problems in uncertain and imprecise environments. In particular, the method derives a priority vector from an XOR comparison matrix, an XOR weighting (XOR-W) technique based on mathematical programming that allows decision makers (DMs) to set multiple judgments for a particular evaluation using XOR logic. To incorporate DMs' preferences in this process, three types of XOR matrices are proposed: optimistic, pessimistic, and neutral. How the new model offers an alternative way to support DMs under uncertain conditions and in imprecise environments is illustrated by considering a hypothetical application (ranking and selecting North African countries for RE investments in the case of the Desertec project). (C) 2019 Elsevier Ltd. All rights reserved.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50200 - Economics and Business

Project
<a href="/en/project/GA17-19981S" target="_blank" >GA17-19981S: Financial applications of stochastic ordering rules</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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