Qualitative models of complex sustainability systems using integrations of equations and equationless knowledge items generated by several experts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F16%3APU117792" target="_blank" >RIV/00216305:26510/16:PU117792 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ecolind.2015.10.030" target="_blank" >http://dx.doi.org/10.1016/j.ecolind.2015.10.030</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolind.2015.10.030" target="_blank" >10.1016/j.ecolind.2015.10.030</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Qualitative models of complex sustainability systems using integrations of equations and equationless knowledge items generated by several experts

Popis výsledku v původním jazyce

Highly non-linear, partially subjective, inconsistent, vague and multidimensional sustainability systems are often prohibitively difficult to study using numerical and/or verbal and consequently fuzzy quantifiers. Oversimplified or highly specific quantitative models are sometimes obtained and their practical applicability is therefore limited. Moreover, definitions of some ecological and consequently sustainability indicators are unclear and difficult to quantify by their very nature. This is the reason why the least information intensive descriptions must be incorporated into sustainability models developments. Time trends, e.g. increasing, are such information non-intensive descriptors. There are just three trend/qualitative values used to quantify variables and their derivatives: plus/increasing; zero/constant; negative/decreasing. The qualitative quantifiers are the key elements of qualitative models. Qualitative sustainability knowledge items are available in forms of equations with unknown numerical values of relevant constants and in equationless forms such as heuristics. For example – the unsteady state behaviour of a temperature is described by a dumped oscillation equation, however, the relevant equation's constants are not known; return on equity is increasing more and more rapidly. A qualitative model must be developed when the relevant complex quantitative model must be heavily simplified. The key information input in sustainability analysis is expert knowledge. A consensus among experts is often not reached because of substantial subjectivity of experts’ knowledge. Qualitative model solutions are discrete sets of scenarios. Different unions U and intersections ∩ of sets of qualitative solutions can be used to model unachievable consensuses among experts to identify a meaningful compromise. The case study presents a model generated by one expert. It is based on integration of one qualitative equation and 23 equationless relations using 13 variables e.g

Název v anglickém jazyce

Qualitative models of complex sustainability systems using integrations of equations and equationless knowledge items generated by several experts

Popis výsledku anglicky

Highly non-linear, partially subjective, inconsistent, vague and multidimensional sustainability systems are often prohibitively difficult to study using numerical and/or verbal and consequently fuzzy quantifiers. Oversimplified or highly specific quantitative models are sometimes obtained and their practical applicability is therefore limited. Moreover, definitions of some ecological and consequently sustainability indicators are unclear and difficult to quantify by their very nature. This is the reason why the least information intensive descriptions must be incorporated into sustainability models developments. Time trends, e.g. increasing, are such information non-intensive descriptors. There are just three trend/qualitative values used to quantify variables and their derivatives: plus/increasing; zero/constant; negative/decreasing. The qualitative quantifiers are the key elements of qualitative models. Qualitative sustainability knowledge items are available in forms of equations with unknown numerical values of relevant constants and in equationless forms such as heuristics. For example – the unsteady state behaviour of a temperature is described by a dumped oscillation equation, however, the relevant equation's constants are not known; return on equity is increasing more and more rapidly. A qualitative model must be developed when the relevant complex quantitative model must be heavily simplified. The key information input in sustainability analysis is expert knowledge. A consensus among experts is often not reached because of substantial subjectivity of experts’ knowledge. Qualitative model solutions are discrete sets of scenarios. Different unions U and intersections ∩ of sets of qualitative solutions can be used to model unachievable consensuses among experts to identify a meaningful compromise. The case study presents a model generated by one expert. It is based on integration of one qualitative equation and 23 equationless relations using 13 variables e.g

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50704 - Environmental sciences (social aspects)

Projekt

<a href="/cs/project/GA14-23079S" target="_blank" >GA14-23079S: Měření podnikové udržitelosti ve vybraných odvětvích</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

ECOLOGICAL INDICATORS

ISSN

1470-160X

e-ISSN

1872-7034

Svazek periodika

2016

Číslo periodika v rámci svazku

62

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

201-211

Kód UT WoS článku

000370454600020

EID výsledku v databázi Scopus

2-s2.0-84951204238