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標(biāo)題: Titlebook: Explainable AI and Other Applications of Fuzzy Techniques; Proceedings of the 2 Julia Rayz,Victor Raskin,Vladik Kreinovich Conference proce [打印本頁]

作者: infection    時(shí)間: 2025-3-21 17:11
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書目名稱Explainable AI and Other Applications of Fuzzy Techniques讀者反饋




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作者: 改良    時(shí)間: 2025-3-22 00:18
Against One Method: Contemplation in Contextequivalence relation between the above mentioned systems under relaxed conditions. As the above proofs are constructive, this method allows us to transform between the considered Neural Networks and Takagi-Sugeno systems. The interpretability of the proposed system is discussed and future research d
作者: 希望    時(shí)間: 2025-3-22 03:39
Mindfulness Training for Teachersss in language and the corresponding vagueness in intent class boundaries. In this work, we propose a scheme to address the ambiguity in single-intent as well as multi-intent natural language utterances by creating degree memberships over fuzzified intent classes. To our knowledge, this is the first
作者: badinage    時(shí)間: 2025-3-22 05:47

作者: 消散    時(shí)間: 2025-3-22 08:54

作者: 帶來墨水    時(shí)間: 2025-3-22 16:48

作者: 帶來墨水    時(shí)間: 2025-3-22 19:42

作者: 陳腐的人    時(shí)間: 2025-3-23 00:42
Set-Valued and Lyapunov Methods for MPCannually. Many of these deaths could be either prevented or treated more effectively by early detection and subsequent behavioral changes. A model which can accurately predict which patients are at high risk of heart failure would therefore prove valuable for use by healthcare professionals. This pa
作者: Creditee    時(shí)間: 2025-3-23 01:36

作者: hidebound    時(shí)間: 2025-3-23 08:00
Wim J. van der Linden,Ronald K. Hambletonthe computation of the relative variance of an interval Type-2 fuzzy set using the KM algorithm needs more computations than using the original KM algorithm in order to obtain their boundaries since the variance combined with the KM algorithm results in a nonlinear behavior. A modified KM algorithm
作者: NUL    時(shí)間: 2025-3-23 13:09
Simulation in Force Spectroscopy, the prediction of negative opinions from written phrases and the estimation of potential savings from attending unsatisfied customers. The complete methodology consists in natural language pre-processing, the calculation of the Term Frequency - Inverse Document Frequency (TF-IDF) index, the constru
作者: 夾死提手勢(shì)    時(shí)間: 2025-3-23 15:33
Temporal Construal and Moral Motivationd to aid in the classification then others. In this research, we utilize a model-free reinforcement learning approach, coupled with Dempster-Shafer fusion calculus, to learn the subset of features to use for classification of data from multiple classes. Our approach is compared with using all featur
作者: Acumen    時(shí)間: 2025-3-23 18:35

作者: BAIT    時(shí)間: 2025-3-24 01:11
Introduction to Multilevel Analysis,h selection of . variables out of these ., all combinations of these . values are possible. However, for fuzzy operations, there is always some non-trivial relation between . and one of the inputs .; for example, for “and”-operations (t-norms) ., we have .; for “or”-operations (t-conorms) . we have
作者: 痛苦一生    時(shí)間: 2025-3-24 04:31

作者: fiction    時(shí)間: 2025-3-24 10:31
978-3-030-82098-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: 有發(fā)明天才    時(shí)間: 2025-3-24 10:46
Explainable AI and Other Applications of Fuzzy Techniques978-3-030-82099-2Series ISSN 2367-3370 Series E-ISSN 2367-3389
作者: Ventricle    時(shí)間: 2025-3-24 17:58
Michael J. MacKenzie,Roy F. BaumeisterThis paper discuss on Interval Arithmetic by Moore under two main principles: inclusion isotonicity and quick computations under algebraic cost. In 1999, to overcome Moore difficulties Lodwick introduced constrained interval arithmetic. This paper discuss on Lodwick’s theory under these principles.
作者: Thymus    時(shí)間: 2025-3-24 20:17
https://doi.org/10.1007/b137168We show that a natural formalization of the process of changing one’s mind leads to such seemingly non-intuitive ideas as square root of “not” and complex-valued fuzzy degrees.
作者: 粘土    時(shí)間: 2025-3-25 02:00

作者: 嬉耍    時(shí)間: 2025-3-25 05:31
,A Natural Formalization of Changing-One’s-Mind Leads to Square Root of “Not” and to Complex-Valued We show that a natural formalization of the process of changing one’s mind leads to such seemingly non-intuitive ideas as square root of “not” and complex-valued fuzzy degrees.
作者: 憂傷    時(shí)間: 2025-3-25 07:50
Against One Method: Contemplation in Contextequivalence relation between the above mentioned systems under relaxed conditions. As the above proofs are constructive, this method allows us to transform between the considered Neural Networks and Takagi-Sugeno systems. The interpretability of the proposed system is discussed and future research directions are explored.
作者: PHON    時(shí)間: 2025-3-25 12:54

作者: 收養(yǎng)    時(shí)間: 2025-3-25 19:54
https://doi.org/10.1007/978-3-030-82099-2Fuzzy Systems; Soft Computing; Fuzzy Information Processing; Computational Intelligence; AI; NAFIPS; NAFIP
作者: nominal    時(shí)間: 2025-3-25 21:02

作者: incontinence    時(shí)間: 2025-3-26 00:43
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/e/image/319280.jpg
作者: 不自然    時(shí)間: 2025-3-26 07:36

作者: irritation    時(shí)間: 2025-3-26 10:41
2367-3370 intelligence (AI) techniques that do not explain their reco.This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-
作者: SPECT    時(shí)間: 2025-3-26 12:43

作者: 兒童    時(shí)間: 2025-3-26 19:16

作者: 地殼    時(shí)間: 2025-3-26 22:04

作者: 尋找    時(shí)間: 2025-3-27 01:57

作者: 上流社會(huì)    時(shí)間: 2025-3-27 07:29

作者: 禮節(jié)    時(shí)間: 2025-3-27 10:51
Privacy in Location-Sensing Technologiesnd we also analyze which fuzzy techniques are most appropriate for this purpose. Interestingly, it turns out that the answer depends on what problem we are solving: e.g., different “and”- and “or”-operations are preferable when we are controlling a single object and when we are controlling a group of objects.
作者: 結(jié)構(gòu)    時(shí)間: 2025-3-27 15:37

作者: PSA-velocity    時(shí)間: 2025-3-27 18:22
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?,nd we also analyze which fuzzy techniques are most appropriate for this purpose. Interestingly, it turns out that the answer depends on what problem we are solving: e.g., different “and”- and “or”-operations are preferable when we are controlling a single object and when we are controlling a group of objects.
作者: 遺棄    時(shí)間: 2025-3-27 22:57
Conference proceedings 2022 make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general..
作者: 護(hù)航艦    時(shí)間: 2025-3-28 02:39
Set-Valued and Lyapunov Methods for MPC the tree are tuned using a genetic algorithm (GA). The results of the approach are quantified using accuracy, F. score, true positive rate, and true negative rate, then compared to the results obtained by a variety of different algorithms on the same dataset.
作者: 沙草紙    時(shí)間: 2025-3-28 08:17
Simulation in Force Spectroscopy,churning (given that they are unsatisfied with the delivery). The prediction algorithms for negative emotions are shown to achieve good results when tested with out-of-sample comments coming from social networks, and the complete methodology obtains significant savings when applied for e-commerce customer support.
作者: TRUST    時(shí)間: 2025-3-28 11:18
A Genetic Fuzzy Approach for the Prediction of Heart Failure, the tree are tuned using a genetic algorithm (GA). The results of the approach are quantified using accuracy, F. score, true positive rate, and true negative rate, then compared to the results obtained by a variety of different algorithms on the same dataset.
作者: Ligament    時(shí)間: 2025-3-28 16:51
Estimating Fuzzy Possibility Functions for E-Commerce Decision Support,churning (given that they are unsatisfied with the delivery). The prediction algorithms for negative emotions are shown to achieve good results when tested with out-of-sample comments coming from social networks, and the complete methodology obtains significant savings when applied for e-commerce customer support.
作者: 狼群    時(shí)間: 2025-3-28 19:50

作者: BROW    時(shí)間: 2025-3-28 23:09
Machine Learning to Augment the Fusion Process for Data Classification,sion calculus, to learn the subset of features to use for classification of data from multiple classes. Our approach is compared with using all features for data classification on an automobile feature data set, and the results show the benefits of our approach.
作者: apropos    時(shí)間: 2025-3-29 03:54
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoreivial relation between . and one of the inputs .; for example, for “and”-operations (t-norms) ., we have .; for “or”-operations (t-conorms) . we have ., etc. In this paper, we prove a general mathematical explanation for this empirical fact.
作者: 向外    時(shí)間: 2025-3-29 09:35
,Uniform Mixture Convergence of?Continuously Transformed Fuzzy Systems,tion of such fuzzy systems if the underlying functions are bounded. This allows fuzzy rule-based systems to approximate a far wider range of nonlinear behaviors for a given set of sample data and still produce an explainable probability mixture that governs the rule-based proxy system.
作者: CEDE    時(shí)間: 2025-3-29 11:28
The Body and Mind of the School-Age Childhm was able to identify 80% of the labeled rocks. The algorithm also classified additional features as rocks, shadows, or sky that were not selected by the human analyst. Using this broader definition of hazards, 72% of the cases found an acceptable landing site.
作者: 水汽    時(shí)間: 2025-3-29 19:11
Kartik Logishetty,K Ray Chaudhurih a favorable matching probability as a main result. The algorithm also implies an index, which measures the overall uncertainty of collected IVLs quantitatively. Reported computational experiments further evidence that we may better manage uncertainty in crowdsourcing with IVLs than without.
作者: 單片眼鏡    時(shí)間: 2025-3-29 21:54
A Fuzzy Logic Approach for Spacecraft Landing Site Selection,hm was able to identify 80% of the labeled rocks. The algorithm also classified additional features as rocks, shadows, or sky that were not selected by the human analyst. Using this broader definition of hazards, 72% of the cases found an acceptable landing site.
作者: AFFIX    時(shí)間: 2025-3-30 02:38

作者: collateral    時(shí)間: 2025-3-30 06:06

作者: micturition    時(shí)間: 2025-3-30 11:08
,Takagi-Sugeno Fuzzy Systems with?Triangular Membership Functions as?Interpretable Neural Networks,equivalence relation between the above mentioned systems under relaxed conditions. As the above proofs are constructive, this method allows us to transform between the considered Neural Networks and Takagi-Sugeno systems. The interpretability of the proposed system is discussed and future research d
作者: 包裹    時(shí)間: 2025-3-30 15:21

作者: Deadpan    時(shí)間: 2025-3-30 16:33
,How Much for a Set: General Case of?Decision Making Under Set-Valued Uncertainty,is financial: we need to select an alternative that will bring us the largest financial gain. The problem is that usually, we only know the gain corresponding to each alternative with some uncertainty: instead of the exact numerical value of this gain, there is a whole set of possible values of this
作者: 極小量    時(shí)間: 2025-3-30 22:56
A Deep Fuzzy Semi-supervised Approach to Clustering and Fault Diagnosis of Partially Labeled Semicoto create fully labeled training datasets for supervised learning artificial intelligence methods. Semi-supervised learning methods are useful in the realistic scenario where engineers may only be able to annotate limited partial subsets, but existing approaches are limited in scalability for high-d
作者: fluoroscopy    時(shí)間: 2025-3-31 04:39

作者: –LOUS    時(shí)間: 2025-3-31 05:37

作者: 完成才能戰(zhàn)勝    時(shí)間: 2025-3-31 12:24

作者: legacy    時(shí)間: 2025-3-31 17:18

作者: Adrenal-Glands    時(shí)間: 2025-3-31 20:24
,A Note on the KM Algorithm for?Computing the Variance of an Interval Type-2 Fuzzy Set,the computation of the relative variance of an interval Type-2 fuzzy set using the KM algorithm needs more computations than using the original KM algorithm in order to obtain their boundaries since the variance combined with the KM algorithm results in a nonlinear behavior. A modified KM algorithm
作者: Concomitant    時(shí)間: 2025-3-31 21:51

作者: Foam-Cells    時(shí)間: 2025-4-1 03:32





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