Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Rough logic"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Natural Hazards. 97:1025-1049
The ice disaster risk in Ning-Meng reach of Yellow River in China is affected by many factors, and the various risk factors are not independent with each other but present complicated causal relationships. Identifying key ice disaster risk factors an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4886c242c2e78ca5b8e53b9f2561dbe0
https://doi.org/10.1007/s11069-019-03684-3
https://doi.org/10.1007/s11069-019-03684-3
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Pulak Samanta
Publikováno v:
Harmony Search and Nature Inspired Optimization Algorithms ISBN: 9789811307607
The paper inquires about the relationships among the rough set theoretic and modal properties based on lower and upper approximation operators corresponding to approximation pairs introduced by Pomykala viz. \(P_2\) and \(P_3\). It also explores Roug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51f41c3b85f5956f02c4999e96e18c0d
https://doi.org/10.1007/978-981-13-0761-4_45
https://doi.org/10.1007/978-981-13-0761-4_45
Querying large datasets with incomplete and vague data is still a challenge. Ontology-based query answering extends standard database query answering by background knowledge from an ontology to augment incomplete data. We focus on ontologies written
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::e913fa6152e3d66497f2208a48769449
http://hdl.handle.net/10281/267616
http://hdl.handle.net/10281/267616
Autor:
Yanhong She
Publikováno v:
International Journal of Approximate Reasoning. 55:486-499
This paper is mainly devoted to establishing a kind of graded reasoning method in the context of rough logic. To this end, a weak form of deduction theorem in rough logic is firstly obtained, then, based upon the weak deduction theorem and the notion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9f72548fa1950478909ec638d6b9ec
https://doi.org/10.1016/j.ijar.2013.10.001
https://doi.org/10.1016/j.ijar.2013.10.001
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 569:052043
This paper makes an effective combination of rough set and granular computing, and proposes a logic inference form based on rough granular computing. The advantage of rough logic granular computing lies in its demonstration form which is given by arr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181109699b944c40f410035703c671ec
https://doi.org/10.1088/1757-899x/569/5/052043
https://doi.org/10.1088/1757-899x/569/5/052043
Autor:
Xiao-Li He, Yan-Hong She
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21:391-413
Rough set theory, initiated by Pawlak, is a mathematical tool in dealing with inexact and incomplete information. Numerical characterizations of rough sets such as accuracy measure, roughness measure, etc, which aim to quantify the imprecision of a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::298ff9b1ce954dec728b65a243dfc435
https://doi.org/10.1142/s0218488513500207
https://doi.org/10.1142/s0218488513500207
Publikováno v:
Advanced Materials Research. :2274-2277
Combined set pair analysis and knowledge granularity theory, the author puts forward set pair granularity space, and extended rough logic of Pawlak and the decision logic to set pair granularity space, Studied the formula and some special properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d41568aa3b0f3b22d535b9f9721e41a
https://doi.org/10.4028/www.scientific.net/amr.694-697.2274
https://doi.org/10.4028/www.scientific.net/amr.694-697.2274