A Group Agreement-Based Approach For Decision Making in Environmental Issues

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F12%3A54637" target="_blank" >RIV/60460709:41330/12:54637 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41110/12:54637

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Group Agreement-Based Approach For Decision Making in Environmental Issues

Popis výsledku v původním jazyce

A decision-making process focusing on environmental issues is extremely complex because of the intricacy of the real-world systems. Such systems are subjected to many uncertain events, which make planning, modeling, and predicting performances and treatment inherently complicated. Typically, a decision-making process focusing on environmental problems is ill structured, uncertain, vague, and multidimensional and is often based on the opinions of experts with different viewpoints. A common problem is howto aggregate the opinions of experts, which might be diverse and sometimes even opposing. This paper presents a new method for aggregating experts? opinions and introduces a new aggregation operator MaxAgM, based on Shannon entropy, which maximizes theagreement of experts? opinions. Our method can be applied toward aggregating expert proposals that were expressed by crisp as well as fuzzy quantities to propose a binary solution or to estimate a numerical value of some parameter. A spec

Název v anglickém jazyce

A Group Agreement-Based Approach For Decision Making in Environmental Issues

Popis výsledku anglicky

A decision-making process focusing on environmental issues is extremely complex because of the intricacy of the real-world systems. Such systems are subjected to many uncertain events, which make planning, modeling, and predicting performances and treatment inherently complicated. Typically, a decision-making process focusing on environmental problems is ill structured, uncertain, vague, and multidimensional and is often based on the opinions of experts with different viewpoints. A common problem is howto aggregate the opinions of experts, which might be diverse and sometimes even opposing. This paper presents a new method for aggregating experts? opinions and introduces a new aggregation operator MaxAgM, based on Shannon entropy, which maximizes theagreement of experts? opinions. Our method can be applied toward aggregating expert proposals that were expressed by crisp as well as fuzzy quantities to propose a binary solution or to estimate a numerical value of some parameter. A spec

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Environmental Modelling & Software

ISSN

1364-8152

e-ISSN

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Svazek periodika

36

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

99-110

Kód UT WoS článku

000304849900009

EID výsledku v databázi Scopus

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