作者: 減震 時(shí)間: 2025-3-21 20:40 作者: 瑣事 時(shí)間: 2025-3-22 01:47
B. Boeryd,J. Eldh,L.-E. Peterson, which we prove forms a vector space. The node functions of the linguistic neural network are defined in terms of this linguistic arithmetic. The learning method used for the network is a modified Backpropagation algorithm, with the original arithmetic operations replaced by their linguistic equiva作者: Adrenaline 時(shí)間: 2025-3-22 08:34
U. M. Lütolf,P. Huguenin,C. Glanzmannbols may be compared to the importance of the symbols alone. Due to complexity of music nature and music notation, music representation, necessary to store and reuse recognised information, is also the key issue in music notation recognition and music processing. Both: the data representation and th作者: Accord 時(shí)間: 2025-3-22 11:25
Interval and Ellipsoidal Uncertainty Models,ntation to the extent of prior knowledge. The relative merits of interval and ellipsoidal representations of noise are discussed in a set theoretic setting and are illustrated using both a simple synthetic example and a real-life scenario of state estimation of a water distribution system.作者: Palpitation 時(shí)間: 2025-3-22 13:37
Rough Sets and Boolean Reasoning,soning is crucial for all the discussed methods..We also present an overview of some extensions of the classical rough set approach. Among them is rough mereology developed as a tool for synthesis of objects satisfying a given specification in a satisfactory degree. Applications of rough mereology i作者: Palpitation 時(shí)間: 2025-3-22 18:07
Granular Computing in Neural Networks,, which we prove forms a vector space. The node functions of the linguistic neural network are defined in terms of this linguistic arithmetic. The learning method used for the network is a modified Backpropagation algorithm, with the original arithmetic operations replaced by their linguistic equiva作者: 賭博 時(shí)間: 2025-3-23 00:37 作者: Eulogy 時(shí)間: 2025-3-23 03:53 作者: 硬化 時(shí)間: 2025-3-23 07:38
Targeted Therapien und Immuntherapie,aining data. The trade-offs between granularity, specificity, interpretability, and efficiency are examined for rule-bases produced in each of these manners. An algorithm that combines rule learning with region merging is introduced to incorporate beneficial features of both the heuristic and learning approaches to producing fuzzy models.作者: evasive 時(shí)間: 2025-3-23 13:04 作者: FLORA 時(shí)間: 2025-3-23 16:49
Granularity and Specificity in Fuzzy Rule-Based Systems,aining data. The trade-offs between granularity, specificity, interpretability, and efficiency are examined for rule-bases produced in each of these manners. An algorithm that combines rule learning with region merging is introduced to incorporate beneficial features of both the heuristic and learning approaches to producing fuzzy models.作者: CHIP 時(shí)間: 2025-3-23 18:48
Granular Computing978-3-7908-1823-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: osteocytes 時(shí)間: 2025-3-24 01:04 作者: Vertebra 時(shí)間: 2025-3-24 05:49
Neue Einleitung 1969: Nach 15 Jahrenctors. For these systems, the representation of uncertainty as confidence intervals or the ellipsoids offers significant advantages over the more traditional approaches with probabilistic representation of noise. While the filtered-white-Gaussian noise model can be defined on grounds of mathematical作者: Collision 時(shí)間: 2025-3-24 08:01
Was Passiert auf dem Arkturus Gerade Jetzt? of all values of the parameter vector that are acceptable in the sense that all errors between the experimental data and the corresponding model outputs lie between known lower and upper bounds. This corresponds to what is known as bounded-error estimation or membership-set estimation. Most of the 作者: 占卜者 時(shí)間: 2025-3-24 12:37 作者: 可卡 時(shí)間: 2025-3-24 18:52 作者: Fsh238 時(shí)間: 2025-3-24 19:48
Metapopulationsanalyse auf Rasterdatenbasisa unique crisp/fuzzy subset of data, representing the “nearest” neighborhood, is a binary relation between the object and data spaces. “Nearest” neighborhood consists of data that are semantically related to ., and represents an elementary granule (atoms) of the system under consideration. This pape作者: 善變 時(shí)間: 2025-3-24 23:52 作者: 天氣 時(shí)間: 2025-3-25 05:41
Situated Knowledge and the Regime of Truth, is associated with a class. These algorithms are based on the use of mathematical morphology operators that are used to filter the given set of values and highlight kernel for fuzzy subsets. Their purpose is to be used in an inductive learning algorithm to construct fuzzy partitions on numerical un作者: 裙帶關(guān)系 時(shí)間: 2025-3-25 11:10
Metastasen und Rezidive im Knocheniverse of discourse of the linguistic variable in binary or bipolar terms. This will permit us to process fuzzy information expressed in linguistic terms using discrete models of Artificial Intelligence. In order to test the effectiveness, we apply this method to the memorization of a set of fuzzy r作者: 噴出 時(shí)間: 2025-3-25 14:27
Jochen A. Werner M.D.,R. Kim Davis M.D.ion between individuals, through meaningful linguistic summaries. However, existing approaches to fuzzy quantification fail to provide convincing results in the important case of two-place quantification (e.g. “many blondes are tall”). We develop an axiomatic framework for fuzzy quantification which作者: barium-study 時(shí)間: 2025-3-25 18:16
Targeted Therapien und Immuntherapie,aining data. The trade-offs between granularity, specificity, interpretability, and efficiency are examined for rule-bases produced in each of these manners. An algorithm that combines rule learning with region merging is introduced to incorporate beneficial features of both the heuristic and learni作者: 浪費(fèi)物質(zhì) 時(shí)間: 2025-3-25 21:17 作者: Eructation 時(shí)間: 2025-3-26 01:59 作者: 我不重要 時(shí)間: 2025-3-26 05:10
Elie Klam MD,Dev Abraham MD, MRCPy automated modeling tool that takes this approach must be able to reason effectively about sensors and actuators and their interactions with the target system. The granulation level of the information involved in this process ranges from low-level data analysis techniques to abstract, qualitative o作者: 同來核對(duì) 時(shí)間: 2025-3-26 11:51
U. M. Lütolf,P. Huguenin,C. Glanzmannits aspects: data representation and data processing is especially emphasised in the paper. OMR is a challenge in intelligent computing technologies, especially in such fields as pattern recognition and knowledge representation and processing. Music notation is a language allowing for communication 作者: 細(xì)頸瓶 時(shí)間: 2025-3-26 15:49 作者: heart-murmur 時(shí)間: 2025-3-26 17:36 作者: fetter 時(shí)間: 2025-3-26 22:58 作者: diathermy 時(shí)間: 2025-3-27 01:49 作者: incision 時(shí)間: 2025-3-27 06:54
Nonlinear Bounded-Error Parameter Estimation Using Interval Computation, of all values of the parameter vector that are acceptable in the sense that all errors between the experimental data and the corresponding model outputs lie between known lower and upper bounds. This corresponds to what is known as bounded-error estimation or membership-set estimation. Most of the 作者: AROMA 時(shí)間: 2025-3-27 13:02
Random-Sets: Theory and Applications, subjective notions are modelled and matched with data. For problems in which uncertainty has been modelled using probability theory in the past, discussions on what approach is right, frequently conclude that both should complement each other. In the present text, we consider such synergy of fuzzy 作者: Aromatic 時(shí)間: 2025-3-27 14:06
Rough Sets and Boolean Reasoning,ment of several software systems that implement rough set operations, in particular for solving knowledge discovery and data mining tasks. Rough sets are applied in domains, such as, for instance, medicine, finance, telecommunication, vibration analysis, conflict resolution, intelligent agents, patt作者: 委屈 時(shí)間: 2025-3-27 18:57
Granulation and Nearest Neighborhoods: Rough Set Approach,a unique crisp/fuzzy subset of data, representing the “nearest” neighborhood, is a binary relation between the object and data spaces. “Nearest” neighborhood consists of data that are semantically related to ., and represents an elementary granule (atoms) of the system under consideration. This pape作者: jarring 時(shí)間: 2025-3-27 23:48
An Inquiry into the Theory of Defuzzification,ration along with the operation of fuzzification is critical to the design of fuzzy systems as both of these operations provide nexus between the fuzzy set domain and the real valued scalar domain. We need the synergy of both of these domains to solve many of our ill-posed problems effectively. In t作者: glamor 時(shí)間: 2025-3-28 03:03 作者: BYRE 時(shí)間: 2025-3-28 08:38
A Coding Method to Handle Linguistic Variables,iverse of discourse of the linguistic variable in binary or bipolar terms. This will permit us to process fuzzy information expressed in linguistic terms using discrete models of Artificial Intelligence. In order to test the effectiveness, we apply this method to the memorization of a set of fuzzy r作者: Observe 時(shí)間: 2025-3-28 13:35 作者: Decimate 時(shí)間: 2025-3-28 16:12
Granularity and Specificity in Fuzzy Rule-Based Systems,aining data. The trade-offs between granularity, specificity, interpretability, and efficiency are examined for rule-bases produced in each of these manners. An algorithm that combines rule learning with region merging is introduced to incorporate beneficial features of both the heuristic and learni作者: conformity 時(shí)間: 2025-3-28 21:34
Granular Computing in Neural Networks,ignificant relationships in the system. In this chapter, we will test this premise by defining a granular neural network and testing it on the Iris data set. Our hypothesis is that the granular neural network will be able to learn the Iris data set, but not as accurately as a standard neural network作者: 水獺 時(shí)間: 2025-3-29 02:02
Fuzzy Clustering for Multiple-Model Approaches in System Identification and Control,he fuzzy .-means type. Two application examples are presented: automated design of operating points for gain scheduling in flight control systems and nonlinear black-box identification. In the latter case, a comparison with an alternative technique is given. It is shown that fuzzy clustering is an e作者: 一大塊 時(shí)間: 2025-3-29 05:14
Information Granulation in Automated Modeling,y automated modeling tool that takes this approach must be able to reason effectively about sensors and actuators and their interactions with the target system. The granulation level of the information involved in this process ranges from low-level data analysis techniques to abstract, qualitative o作者: ACTIN 時(shí)間: 2025-3-29 08:46
Optical Music Recognition: the Case of Granular Computing,its aspects: data representation and data processing is especially emphasised in the paper. OMR is a challenge in intelligent computing technologies, especially in such fields as pattern recognition and knowledge representation and processing. Music notation is a language allowing for communication 作者: ticlopidine 時(shí)間: 2025-3-29 11:56
Modeling MPEG VBR Video Traffic Using Type-2 Fuzzy Logic Systems,t a type-2 fuzzy membership function, i.e., a Gaussian MF with uncertain variance, is most appropriate to model the log-value of I/P/B frame sizes in MPEG VBR video. We treat the video traffic as a dynamic system, and use a type-2 FLS to model this system. Simulation results show that a type-2 FLS p作者: 拋媚眼 時(shí)間: 2025-3-29 17:19
Induction of Rules about Complications with the use of Rough Sets,s: the induced rules are too short to represent the reasoning of domain experts. In this paper, the characteristics of experts’ rules are closely examined and a new approach to extract plausible rules is introduced, which consists of the following three procedures. First, the characterization of dec作者: Neonatal 時(shí)間: 2025-3-29 23:04 作者: 鋼筆尖 時(shí)間: 2025-3-30 03:40
Metaphysische Probleme der Medizinsets, probability and possibility distributions provided by the concept of a random-set. Following a brief review of basic mathematical and semantic aspects of random-set theory, we introduce an application of the theory to time series analysis.作者: 嘲弄 時(shí)間: 2025-3-30 06:23
Interval Arithmetic and Interval Analysis: An Introduction,erval based algorithms (mainly the interval Newton algorithm) is provided. The article is completed with a discussion of some application areas for interval analysis without claiming to be a complete survey.作者: Working-Memory 時(shí)間: 2025-3-30 08:20 作者: 定點(diǎn) 時(shí)間: 2025-3-30 13:31
Granulation and Nearest Neighborhoods: Rough Set Approach,borhood consists of data that are semantically related to ., and represents an elementary granule (atoms) of the system under consideration. This paper examines “rough set theory” of these elementary granules. Applications to databases, fuzzy sets and pattern recognition are used to illustrate the idea.作者: SSRIS 時(shí)間: 2025-3-30 20:26 作者: 字謎游戲 時(shí)間: 2025-3-30 22:26
Fuzzy Clustering for Multiple-Model Approaches in System Identification and Control,nonlinear black-box identification. In the latter case, a comparison with an alternative technique is given. It is shown that fuzzy clustering is an effective technique for the decomposition of a complex nonlinear problem into a set of simpler local problems.作者: ALLEY 時(shí)間: 2025-3-31 03:47
Information Granulation in Automated Modeling,et system. The granulation level of the information involved in this process ranges from low-level data analysis techniques to abstract, qualitative observations about the system. This chapter describes a knowledge representation and reasoning framework that allows this process to be automated.作者: 格子架 時(shí)間: 2025-3-31 08:35 作者: Efflorescent 時(shí)間: 2025-3-31 10:00 作者: 值得尊敬 時(shí)間: 2025-3-31 13:29
https://doi.org/10.1007/978-1-4842-2881-4ry and practice, and in design and implementation of applications involving fuzzy theory, fuzzy control, and fuzzy rule base, and fuzzy inference-based systems. We also present in this paper a simple and yet novel defuzzification mechanism.作者: Asseverate 時(shí)間: 2025-3-31 21:04 作者: Ledger 時(shí)間: 2025-4-1 00:50
Nonlinear Bounded-Error Parameter Estimation Using Interval Computation,dvocated here which can deal with nonlinear models. This is made possible by the use of the tools of interval analysis, combined with a branch-and-bound algorithm. The purpose of the present paper is to show that the approach can be cast into the more general framework of granular computing.作者: Fulsome 時(shí)間: 2025-4-1 03:35 作者: 蔑視 時(shí)間: 2025-4-1 08:40 作者: assail 時(shí)間: 2025-4-1 11:02
