Results 91 to 100 of about 185,811 (251)
Rough Set in Fuzzy Approximation Space with Fuzzy Equivalence Class
Fuzzy Optimization and Modeling, 2020 The rough set model was constructed in fuzzy approximation space. In this study, we first introduce the fuzzy relation, relative sets, and fuzzy equivalence class. Then, we prove some properties of the fuzzy equivalence class.
Mohadeseh Taginejad
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On the relationship between intuitionistic fuzzy sets and some other extensions of fuzzy set theory
, 2002 In a previous paper we presented the relationship between intuitionistic fuzzy sets (Atanassov) and some other extensions of fuzzy set theory, such as L-fuzzy sets (Goguen), interval valued fuzzy sets (Sambuc), interval valued intuitionistic fuzzy sets ...
Kerre, EtienneWE02801000205272F358CFA4-F0ED-11E1-A9DE-61C894A0A6B4 +3 more
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Fuzzy reasoning based on a new fuzzy rough set and its application to scheduling problems
, 2006 In this paper, we study the fuzzy reasoning based on a new fuzzy rough set. First, we define a broad family of new lower and upper approximation operators of fuzzy sets between different universes using a set of axioms.
Li, Hongxing +3 more
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Fuzziness and Roughness in Hyperquantales
International Journal of Analysis and Applications, 2020 Theories of fuzzy set and rough set are powerful mathematical tools for modelling various types of uncertainty. In this paper, we introduce the notions of bi-hyperideal, fuzzy bi-hyperideals of hyperquantales and their related properties is given ...
Raees Khan +4 more
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Determinants of Long-term Economic Development: An Empirical Cross-country Study Involving Rough Sets Theory and Rule Induction [PDF]
Empirical findings on determinants of long-term economic growth are numerous, sometimes inconsistent, highly exciting and still incomplete. The empirical analysis was almost exclusively carried out by standard econometrics.
Wilk, Szymon, Obersteiner, Michael
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Web-based strategies in the manufacturing industry [PDF]
, 2000 The explosive growth of Internet-based architectures is allowing an efficient access to information resources over geographically dispersed areas. This fact is exerting a major influence on current manufacturing practices.
Velásquez, Luis Alexis, Velasquez, L.A.
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On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data
, 2017 Since the notion of hesitant fuzzy set was introduced, some clustering algorithms have been proposed to cluster hesitant fuzzy data. Beside of hesitation in data, there is some hesitation in the clustering (classification) of a crisp data set.
Esfandiar Eslami +5 more
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Mathematics in Applied Sciences and EngineeringFuzzy sets play a crucial role in representing real-world complexities where precise binary logic falls short. Rough sets are closely related to fuzzy sets, and their combined use provides a powerful framework for handling uncertain and incomplete ...
S. Pavithra, A. Manimaran
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Fuzzy rough set model on two different universes and its application
, 2011 The concept of the rough set was originally proposed by Pawlak as a formal tool for modeling and processing incomplete information in information systems.
Bingzhen Sun +3 more
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Grid service discovery with rough sets
, 2008 Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z +7 more
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