書目名稱Granular Computing and Intelligent Systems影響因子(影響力)學科排名
書目名稱Granular Computing and Intelligent Systems網(wǎng)絡公開度
書目名稱Granular Computing and Intelligent Systems網(wǎng)絡公開度學科排名
書目名稱Granular Computing and Intelligent Systems被引頻次
書目名稱Granular Computing and Intelligent Systems被引頻次學科排名
書目名稱Granular Computing and Intelligent Systems年度引用
書目名稱Granular Computing and Intelligent Systems年度引用學科排名
書目名稱Granular Computing and Intelligent Systems讀者反饋
書目名稱Granular Computing and Intelligent Systems讀者反饋學科排名
作者: 宏偉 時間: 2025-3-21 21:22
Methanol as a Hydrogen and Energy Carrier,ent uncertainty formalisms such as random sets, Dempster-Shafer approach, fuzzy sets, imprecise probabilities, and Bayesian statistics. We also prove that for fuzzy uncertainty, granules of second order are sufficient.作者: fallible 時間: 2025-3-22 02:18
From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order,ent uncertainty formalisms such as random sets, Dempster-Shafer approach, fuzzy sets, imprecise probabilities, and Bayesian statistics. We also prove that for fuzzy uncertainty, granules of second order are sufficient.作者: 臥虎藏龍 時間: 2025-3-22 07:33
https://doi.org/10.1007/978-3-322-87725-3benefits. A synthesis of results from artificial intelligence will enrich granular computing; granular computing philosophy, methodology, and tools may help in facing the grand challenge of reverse-engineering the brain, which has significant implications to artificial machine intelligence.作者: 重力 時間: 2025-3-22 09:08
Salvaging Strasberg at the Fin De Sièclewron and Stepaniuk 1994, Skowron and Stepaniuk 1996, Stepaniuk 2008). The generalizations are motivated by reallife applications of intelligent systems and are related to inductive extensions of approximation spaces.作者: Popcorn 時間: 2025-3-22 13:16
https://doi.org/10.1007/978-3-642-53876-6ring fuzzy sets. We describe a model of the hybridization of rough and fuzzy sets, that allows for further refinements of rough fuzzy sets. This model offers viable and effective solutions to some problems in image analysis, e.g. image compression.作者: Popcorn 時間: 2025-3-22 18:06 作者: 下邊深陷 時間: 2025-3-22 22:21
https://doi.org/10.1007/978-3-663-10785-9fuzzy tuning PID controller to control power system behaviorand thus achieve good performance, enabling the presented method to reduce power system oscillation and increase dynamic stability. Finally, the advantages of the proposed method are highlighted by simulating the detailed behavior of a multimachine power system.作者: 的是兄弟 時間: 2025-3-23 03:01 作者: ROOF 時間: 2025-3-23 06:53 作者: certain 時間: 2025-3-23 10:12 作者: 繁重 時間: 2025-3-23 14:31 作者: entrance 時間: 2025-3-23 18:15
A Rough Set Approach to Building Association Rules and Its Applications, databases and compared the results of simulation experiments using proposed and conventional models. The rough set model obtained an efficient number of association rules and usually took less computation time.作者: Immortal 時間: 2025-3-24 00:13
Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers,fuzzy tuning PID controller to control power system behaviorand thus achieve good performance, enabling the presented method to reduce power system oscillation and increase dynamic stability. Finally, the advantages of the proposed method are highlighted by simulating the detailed behavior of a multimachine power system.作者: Proponent 時間: 2025-3-24 04:24
Environmental Applications of Granular Computing and Intelligent Systems,ted to determine the optimal management strategy of air quality. The environmental application experiments show that granular computing comes as a promising vehicle for solving social problems related to protection of the environment.作者: 埋葬 時間: 2025-3-24 07:48 作者: CANE 時間: 2025-3-24 10:41 作者: cardiopulmonary 時間: 2025-3-24 18:13 作者: quiet-sleep 時間: 2025-3-24 19:22 作者: 分開如此和諧 時間: 2025-3-24 23:23
Comparative Study of Fuzzy Information Processing in Type-2 Fuzzy Systems, be obtained directly based on experimental data available for a particular problem. A comparative study (in control applications) of the three methods, based on accuracy and efficiency is presented, and the CM method is shown to outperform both the KM and WM methods in efficiency while accuracy produced by this method is comparable.作者: 價值在貶值 時間: 2025-3-25 04:29
Fuzzy Information Granulation with Multiple Levels of Granularity,m solving and information processing with multiple levels of granularity, with special focus on fuzzy information granulation. To support the importance of granulation with multiple levels, we present a multi-level approach for extracting well-defined and semantically sound fuzzy information granules from numerical data.作者: 顯示 時間: 2025-3-25 11:19
From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order,ent uncertainty formalisms such as random sets, Dempster-Shafer approach, fuzzy sets, imprecise probabilities, and Bayesian statistics. We also prove that for fuzzy uncertainty, granules of second order are sufficient.作者: Albinism 時間: 2025-3-25 14:22 作者: Original 時間: 2025-3-25 16:51
Calculi of Approximation Spaces in Intelligent Systems,aradigm is Rough-Granular Computing (Pedrycz et al. 2008, Stepaniuk 2008) (RGC, in short). The RGC methods have been successfully applied for solving complex problems in areas such as identification of behavioral patterns by autonomous systems, web mining, and sensor fusion. In RGC, an important rol作者: frozen-shoulder 時間: 2025-3-25 22:33 作者: macular-edema 時間: 2025-3-26 03:05
Comparative Study of Fuzzy Information Processing in Type-2 Fuzzy Systems,hes. However, both of these approaches are time consuming for most real-world applications, in particular for control problems. For this reason, a more efficient method based on evolutionary algorithms has been proposed by Castillo and Melin (CM). This method is based on directly obtaining the type 作者: conservative 時間: 2025-3-26 05:56 作者: CLAIM 時間: 2025-3-26 09:54
Decision Making with Second Order Information Granules, have complete decision-relevant information. The standard framework is not capable to deal with partial or fuzzy information, whereas, in reality, decision-relevant information about outcomes, probabilities, preferences etc is inherently imprecise and as such described in natural language (NL). Now作者: 不可比擬 時間: 2025-3-26 14:53
On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions,zy Rule Based Systems. In this context, it emerges the necessity of managing a flexible structure of the Knowledge Base with the aim of modeling the problems with a higher precision. In this work, we present a short overview on the Hierarchical Fuzzy Rule Based Systems, which consists in a hierarchi作者: CURB 時間: 2025-3-26 17:10 作者: Forehead-Lift 時間: 2025-3-26 21:59 作者: 不公開 時間: 2025-3-27 04:36
Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers,ign can be formulated as an optimal linear regulator control problem; however, implementing the PSS requires designing estimators, increasing implementation complexity and reducing control system reliability. Therefore, this work seeks a control scheme that adopts only the desired state variable, fo作者: absolve 時間: 2025-3-27 07:10 作者: Obverse 時間: 2025-3-27 11:58
A Rough Sets Approach to Human Resource Development in IT Corporations,A new research method is needed to quantify employees’ influence on building relationships with customers and to facilitate human resource and customer relationship management. Rough sets theory is a mathematical approach to dealing with vagueness and uncertainty. It can change a qualitative problem作者: alleviate 時間: 2025-3-27 16:36
Environmental Applications of Granular Computing and Intelligent Systems,nmental phenomena is discussed. A granular prediction model of time series of a dust storm concentration is described. This example is used to explain the technique of information granulation of an environmental phenomenon. Then the issue of environmental management is discussed. Granular computing 作者: manifestation 時間: 2025-3-27 20:03 作者: AVID 時間: 2025-3-27 22:37
https://doi.org/10.1007/978-3-322-87725-3machines. It is closely related to Artificial Intelligence (AI) that aims at understanding human intelligence and its implementations in machines. Basic ideas of granular computing have appeared in AI under various names, including abstraction and reformulation, granularity, rough set theory, quotie作者: Infirm 時間: 2025-3-28 05:54
Salvaging Strasberg at the Fin De Sièclearadigm is Rough-Granular Computing (Pedrycz et al. 2008, Stepaniuk 2008) (RGC, in short). The RGC methods have been successfully applied for solving complex problems in areas such as identification of behavioral patterns by autonomous systems, web mining, and sensor fusion. In RGC, an important rol作者: 手術(shù)刀 時間: 2025-3-28 08:14 作者: 類型 時間: 2025-3-28 11:06 作者: 能得到 時間: 2025-3-28 16:48
Valentin L. Popov,Roman Pohrt,Markus He?ticular, the issue of how to extract approximate facts from vague and partially true statements has received considerable attention in the field of fuzzy information processing. However, vagueness is often due to a lack of available information, making it impossible to satisfactorily evaluate member作者: 用不完 時間: 2025-3-28 20:25
https://doi.org/10.1007/978-3-642-82970-3 have complete decision-relevant information. The standard framework is not capable to deal with partial or fuzzy information, whereas, in reality, decision-relevant information about outcomes, probabilities, preferences etc is inherently imprecise and as such described in natural language (NL). Now作者: 木訥 時間: 2025-3-29 01:22 作者: Infant 時間: 2025-3-29 06:06
https://doi.org/10.1007/978-3-662-25323-6olving a complex problem, via a granular computing approach, means splitting the problem into information granules and handling each granule as a whole. This leads to a multi-level view of information granulation, which permeates human reasoning and has a significant impact in any field involving bo作者: GOAD 時間: 2025-3-29 07:28 作者: 夾克怕包裹 時間: 2025-3-29 14:11
https://doi.org/10.1007/978-3-663-10785-9ign can be formulated as an optimal linear regulator control problem; however, implementing the PSS requires designing estimators, increasing implementation complexity and reducing control system reliability. Therefore, this work seeks a control scheme that adopts only the desired state variable, fo作者: HEDGE 時間: 2025-3-29 17:15
,Galerkin-FEM für Anfangsrandwertaufgaben,ption price is determined by many factors. This paper proposes a new method to forecast the option price. The proposed approach, a weighted fuzzy time series based neural network (WFTSNN) model, is a hybrid method composed of a fuzzy time series model and a neural network model. In the WFTSNN, a fuz作者: 神化怪物 時間: 2025-3-29 23:32 作者: 多山 時間: 2025-3-30 00:13 作者: PAGAN 時間: 2025-3-30 05:02
Valentin L. Popov,Roman Pohrt,Markus He?fuzzy sets, which are used directly to handle rule uncertainty that type-1 fuzzy sets are unable to deal with. Moreover, the switching relationship between type-2 fuzzy sets and intuitionist fuzzy sets is defined axiomatically. Results of this study demonstrate the effectiveness of the proposed theo作者: Delirium 時間: 2025-3-30 10:39
https://doi.org/10.1007/978-3-642-82970-3ties. The proposed theory differs from the existing ones as one that accumulates non-expected utility paradigm with NL-described decision-relevant information. Linguistic preference relations and fuzzy utility functions are used instead of their classical counterparts as forming a more adequate desc作者: hereditary 時間: 2025-3-30 15:45 作者: Genistein 時間: 2025-3-30 17:08
Anwendungen der BEM in der Elastomechanik,e and customer relationship management and development. The proper management of employees and customers will ensure project success and good corporate performance..Quality is an attribute that is important for products as well as for management and the company itself. The development and promotion 作者: connoisseur 時間: 2025-3-30 21:31 作者: 尾巴 時間: 2025-3-31 01:57 作者: 不自然 時間: 2025-3-31 06:34
On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions,ology by means of a case of study in the framework of imbalanced data-sets in which we compare this learning scheme with some basic Fuzzy Rule Based Classification Systems and with the well-known C4.5 decision tree, using the proper statistical analysis as suggested in the specialised literature. Fi
