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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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&apos; 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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&apos; 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

<a href="/cs/project/GA17-19981S" target="_blank" >GA17-19981S: Finanční aplikace stochastického uspořádání</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Omega

ISSN

0305-0483

e-ISSN

—

Svazek periodika

97

Číslo periodika v rámci svazku

december

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

102082

Kód UT WoS článku

000577491900001

EID výsledku v databázi Scopus

2-s2.0-85068079392