On Consistency of Redundancy Deduction of Linguistic Fuzzy Rules
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F21%3AA2202B4P" target="_blank" >RIV/61988987:17610/21:A2202B4P - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/9648666" target="_blank" >https://ieeexplore.ieee.org/document/9648666</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/KSE53942.2021.9648666" target="_blank" >10.1109/KSE53942.2021.9648666</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On Consistency of Redundancy Deduction of Linguistic Fuzzy Rules
Popis výsledku v původním jazyce
Eliminating the redundant rules in a given system of fuzzy rules is important in fuzzy inference. A high number of seemingly very similar rules can be then reduced and the system is thus simple, comprehensible and adjustable for the users of the rules. This paper focuses on the redundancy of a special type of linguistic fuzzy rules that contain linguistic evaluative expressions. Recently, we have approached to generalize the existing criteria for detecting redundant linguistic fuzzy rules. It is important to mention that the elaboration of the redundancy criteria is initiated by the identification of the so-called investigated pairs, which are the pairs of two rules in which one rule is suspicious from redundancy with respect to another one. Principally, for a given investigated pair, we may use the established criteria to derive the redundancy or non-redundancy of the rule which is suspicious from redundancy. In this paper, we use the most recent generalized criteria and show that the deduction for the redundancy or non-redundancy of a certain rule is consistent when this rule belongs to different investigated pairs.
Název v anglickém jazyce
On Consistency of Redundancy Deduction of Linguistic Fuzzy Rules
Popis výsledku anglicky
Eliminating the redundant rules in a given system of fuzzy rules is important in fuzzy inference. A high number of seemingly very similar rules can be then reduced and the system is thus simple, comprehensible and adjustable for the users of the rules. This paper focuses on the redundancy of a special type of linguistic fuzzy rules that contain linguistic evaluative expressions. Recently, we have approached to generalize the existing criteria for detecting redundant linguistic fuzzy rules. It is important to mention that the elaboration of the redundancy criteria is initiated by the identification of the so-called investigated pairs, which are the pairs of two rules in which one rule is suspicious from redundancy with respect to another one. Principally, for a given investigated pair, we may use the established criteria to derive the redundancy or non-redundancy of the rule which is suspicious from redundancy. In this paper, we use the most recent generalized criteria and show that the deduction for the redundancy or non-redundancy of a certain rule is consistent when this rule belongs to different investigated pairs.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10102 - Applied mathematics
Návaznosti výsledku
Projekt
<a href="/cs/project/GA20-07851S" target="_blank" >GA20-07851S: Fuzzy relační struktury v přibližném usuzování</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
The 2021 13th International Conference on Knowledge and Systems Engineering (KSE)
ISBN
978-1-6654-9975-0
ISSN
—
e-ISSN
2694-4804
Počet stran výsledku
6
Strana od-do
1-6
Název nakladatele
IEEE
Místo vydání
Bangkok
Místo konání akce
Bangkok
Datum konání akce
1. 1. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—