On consistency and coverage measures in the fuzzified set-theoretic approach for social sciences: dealing with ambivalent evidence in the data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F18%3A73589233" target="_blank" >RIV/61989592:15210/18:73589233 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2018.fm.vse.cz/wp-content/uploads/2018/09/MME2018-Electronic_proceedings.pdf" target="_blank" >https://mme2018.fm.vse.cz/wp-content/uploads/2018/09/MME2018-Electronic_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

On consistency and coverage measures in the fuzzified set-theoretic approach for social sciences: dealing with ambivalent evidence in the data

Popis výsledku v původním jazyce

This paper investigates the modified concepts of fuzzy consistency and fuzzy coverage recently proposed by Stoklasa et al. in the context of the fuzzified set- theoretic approach for the purpose of linguistic/fuzzy rule validation in social sciences. The new fuzzified consistency and coverage measures (denoted by the F2 and F3 indices in the paper by Stoklasa et al.) were introduced in 2017 as a reaction to the inability of the original consistency and coverage fuzzified by Ragin in 2008 to deal with ambivalent information present in the data. More specifically, the F2 and F3 measures try to remove the ambivalent information inherent in the fuzzy observations - i.e. observations with fuzzy values ofsome or all of the relevant variables. We analyse the performance of all three consistency and coverage measures, assess the ability of the new ones to deal with the ambivalent information and propose a modification of the F3 consistency and coverage which increases its distinguishing power. We present graphical summaries of the performance of the consistency and coverage measures for a single-fuzzy-observation case and discuss their possible usefulness and differences.

Název v anglickém jazyce

On consistency and coverage measures in the fuzzified set-theoretic approach for social sciences: dealing with ambivalent evidence in the data

Popis výsledku anglicky

This paper investigates the modified concepts of fuzzy consistency and fuzzy coverage recently proposed by Stoklasa et al. in the context of the fuzzified set- theoretic approach for the purpose of linguistic/fuzzy rule validation in social sciences. The new fuzzified consistency and coverage measures (denoted by the F2 and F3 indices in the paper by Stoklasa et al.) were introduced in 2017 as a reaction to the inability of the original consistency and coverage fuzzified by Ragin in 2008 to deal with ambivalent information present in the data. More specifically, the F2 and F3 measures try to remove the ambivalent information inherent in the fuzzy observations - i.e. observations with fuzzy values ofsome or all of the relevant variables. We analyse the performance of all three consistency and coverage measures, assess the ability of the new ones to deal with the ambivalent information and propose a modification of the F3 consistency and coverage which increases its distinguishing power. We present graphical summaries of the performance of the consistency and coverage measures for a single-fuzzy-observation case and discuss their possible usefulness and differences.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

36th International Conference Mathematical Methods in Economics 2018, September 12th - 14th, 2018, Jindřichův Hradec, Czech Republic, Conference Proceedings

ISBN

978-80-7378-372-3

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

521-526

Název nakladatele

MatfyzPress

Místo vydání

Prague

Místo konání akce

Jindřichův Hradec

Datum konání akce

12. 9. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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