標(biāo)題: Titlebook: An Introduction to Fuzzy Logic Applications in Intelligent Systems; Ronald R. Yager,Lotfi A. Zadeh Book 1992 Springer Science+Business Med [打印本頁] 作者: External-Otitis 時間: 2025-3-21 17:37
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書目名稱An Introduction to Fuzzy Logic Applications in Intelligent Systems被引頻次
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書目名稱An Introduction to Fuzzy Logic Applications in Intelligent Systems讀者反饋
書目名稱An Introduction to Fuzzy Logic Applications in Intelligent Systems讀者反饋學(xué)科排名
作者: finite 時間: 2025-3-21 20:14
Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology,erations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of 作者: MEAN 時間: 2025-3-22 02:20
https://doi.org/10.1007/978-3-663-04665-3erations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of 作者: 獸群 時間: 2025-3-22 07:57 作者: insightful 時間: 2025-3-22 10:21
0893-3405 atics. .An Introduction toFuzzy. .Logic Applications in Intelligent Systems. may also beused as an introductory text and, as such, it is tutorial in nature..978-1-4613-6619-5978-1-4615-3640-6Series ISSN 0893-3405 作者: Blemish 時間: 2025-3-22 13:22
https://doi.org/10.1007/978-3-663-04665-3asoning heavily involves metaknowledge to focuss attention on the most plausible hypotheses or goals in a given situation and to control the inference process. Furthermore, uncertainty also plays an important role at the control level, for example, decisions are taken depending on the uncertainty of the facts supporting them.作者: conspicuous 時間: 2025-3-22 18:42 作者: 輕浮思想 時間: 2025-3-22 21:55
Die Technologie des Maschinentechnikersntroduced. The combination operations which appear for taking advantage of the available knowledge are all derived from the intended semantics of the rules. The processing of these four types of rules is studied in detail. Fuzzy rules modelling preference in decision processes are also discussed.作者: 變白 時間: 2025-3-23 03:15 作者: 積習(xí)難改 時間: 2025-3-23 08:27
https://doi.org/10.1007/978-3-642-92301-2ility (in relation to (3)). It seems, however, that there are few carefully thought-out investigations by paying attention to all problems mentioned above. In this paper we would like to give our opinion about these problems and to introduce a new concept called ‘probabilistic sets’.作者: 薄膜 時間: 2025-3-23 09:52 作者: Ossification 時間: 2025-3-23 14:07 作者: 擋泥板 時間: 2025-3-23 20:52
https://doi.org/10.1007/978-3-642-80279-9ns; and finally interpretation of the scene. We normally think of images in the visible spectrum, either monochrome or color, but in fact, images can be produced by a wide range of sensing modalities including X-rays, neutrons, ultrasound, pressure sensing, laser range finding, infrared, and ultraviolet, to name a few.作者: 沙漠 時間: 2025-3-23 22:36 作者: 強(qiáng)化 時間: 2025-3-24 03:21 作者: 四指套 時間: 2025-3-24 06:37 作者: Flu表流動 時間: 2025-3-24 13:28 作者: Mindfulness 時間: 2025-3-24 18:32
Fuzzy Set Methods in Computer Vision,ns; and finally interpretation of the scene. We normally think of images in the visible spectrum, either monochrome or color, but in fact, images can be produced by a wide range of sensing modalities including X-rays, neutrons, ultrasound, pressure sensing, laser range finding, infrared, and ultraviolet, to name a few.作者: ANTIC 時間: 2025-3-24 21:28
Fuzzy Sets in Natural Language Processing,ing its structure, especially the phonetic and syntactic aspects. Less, however, is understood its semantics. There are many linguistic systems, often based on set theory and logic, attempting to grasp (at least some phenomena) of the natural language. However, none them is fully acceptted and satisfactory in all respects.作者: 保全 時間: 2025-3-25 01:39 作者: Painstaking 時間: 2025-3-25 06:46
Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties,e company may know that a person with certain characteristics is a good risk, a doctor knows that certain symptoms almost always means the person is suffering from a given disease. The conclusion in each of these cases comes from studying tendencies in a population of relevant cases and using these to infer something about an individual case.作者: alliance 時間: 2025-3-25 09:04
https://doi.org/10.37307/b.978-3-503-21164-7erties of the model and the functions for which the model is designed (Zimmermann, 1980). In general, good models must have three major properties: 1) formal consistency (all conclusions follow from the hypothesis), 2) usefulness, and 3) efficiency (the model should fulfill the desired function at a minimum effort, time and cost).作者: drusen 時間: 2025-3-25 14:15
Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions,erties of the model and the functions for which the model is designed (Zimmermann, 1980). In general, good models must have three major properties: 1) formal consistency (all conclusions follow from the hypothesis), 2) usefulness, and 3) efficiency (the model should fulfill the desired function at a minimum effort, time and cost).作者: animated 時間: 2025-3-25 18:50 作者: CYN 時間: 2025-3-25 20:32
Fuzzy Logic with Linguistic Quantifiers in Group Decision Making,ssible by using traditional formal apparata. Using a fuzzy majority, and assuming fuzzy individual and social preference relations, we redefine solution concepts in group decision making, and present new ?soft? degrees of consensus.作者: Tincture 時間: 2025-3-26 03:06
Probabilistic Sets Probabilistic Extension of Fuzzy Sets,ility (in relation to (3)). It seems, however, that there are few carefully thought-out investigations by paying attention to all problems mentioned above. In this paper we would like to give our opinion about these problems and to introduce a new concept called ‘probabilistic sets’.作者: 殘酷的地方 時間: 2025-3-26 07:25
Book 1992zy sets. Each chapter addresses an areawhere fuzzy sets have been applied to situations broadly related tointelligent systems. .The volume provides an introduction to and an overview of recentapplications of fuzzy sets to various areas of intelligent systems.Its purpose is to provide information and作者: 前奏曲 時間: 2025-3-26 12:17 作者: MELD 時間: 2025-3-26 14:52 作者: harbinger 時間: 2025-3-26 18:11
Fuzzy Logic Controllers,s in a variety of fields. Among the most successful applications of this theory has been the area of Fuzzy Logic Control (FLC) initiated by the work of Mamdani and Assilian [.]. FLC has had considerable success in Japan, where many commercial products using this technology, have been built.作者: Kinetic 時間: 2025-3-26 21:21 作者: HARD 時間: 2025-3-27 01:27
Fuzzy Sets in Natural Language Processing, human way of thinking and regarding the world. Therefore, it is extremely important to study it in all its respects. Much has been done in understanding its structure, especially the phonetic and syntactic aspects. Less, however, is understood its semantics. There are many linguistic systems, often作者: 不自然 時間: 2025-3-27 08:54
Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions,rwise be possible to be made; and 2) epistemiological, to express and extend our knowledge of the world. Models are helpful for explanation and theory formation, as well as simplication and concretization. Zimmermann (1980) classifies models into three groups: 1) formal models (purely axiomatic syst作者: 細(xì)微差別 時間: 2025-3-27 12:18 作者: FLAGR 時間: 2025-3-27 14:04
Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology,amework of medical diagnosis problems. The paper describes and illustrates with practical examples, a general methodology of special interest in the processing of borderline cases, that allows a graded assignment of diagnoses to patients. A pattern of medical knowledge consists of a tableau with lin作者: 其他 時間: 2025-3-27 19:40
The Representation and Use of Uncertainty and Metaknowledge in Milord,em in programs. Experts in a domain are better than novices in performing problem solving tasks. This is due to their greater experience in solving problems that provides them with better strategies. Such strategies are knowledge about how to use the knowledge they have in their domain of expertise.作者: Electrolysis 時間: 2025-3-27 22:06 作者: 本能 時間: 2025-3-28 03:59 作者: DRAFT 時間: 2025-3-28 06:43 作者: 谷類 時間: 2025-3-28 14:28
Probabilistic Sets Probabilistic Extension of Fuzzy Sets,)variety of character, (3)subjectivity of observers, (4)evolution of knowledge or learning. With regard to each problem, however, there are several general theories: many-valued logic, fuzzy set theory (in connection with (1)and(2)), modal logic (in conjunction with (2)and(4)), and subjective probab作者: 江湖騙子 時間: 2025-3-28 16:22 作者: 轎車 時間: 2025-3-28 21:54
978-1-4613-6619-5Springer Science+Business Media New York 1992作者: 真繁榮 時間: 2025-3-29 00:33 作者: 讓步 時間: 2025-3-29 04:47
Fuzzy Logic Controllers,s in a variety of fields. Among the most successful applications of this theory has been the area of Fuzzy Logic Control (FLC) initiated by the work of Mamdani and Assilian [.]. FLC has had considerable success in Japan, where many commercial products using this technology, have been built.作者: 格言 時間: 2025-3-29 10:31 作者: 輕觸 時間: 2025-3-29 14:04
An Introduction to Fuzzy Logic Applications in Intelligent Systems978-1-4615-3640-6Series ISSN 0893-3405 作者: 俗艷 時間: 2025-3-29 15:42 作者: Lice692 時間: 2025-3-29 22:40 作者: 黃油沒有 時間: 2025-3-30 03:27 作者: 聾子 時間: 2025-3-30 05:11
Die Technologie des Maschinentechnikersl-known. The notion of possibility which is used for that purpose is not the standard one in possibility theory, although the two notions of possibility can be related. Based on these considerations four distinct types of rules with different semantics involving gradedness and uncertainty are then i作者: Encephalitis 時間: 2025-3-30 09:20
Die Technologie des Maschinentechnikerss in a variety of fields. Among the most successful applications of this theory has been the area of Fuzzy Logic Control (FLC) initiated by the work of Mamdani and Assilian [.]. FLC has had considerable success in Japan, where many commercial products using this technology, have been built.作者: fiction 時間: 2025-3-30 13:28 作者: 難聽的聲音 時間: 2025-3-30 18:37
https://doi.org/10.1007/978-3-658-21795-2 human way of thinking and regarding the world. Therefore, it is extremely important to study it in all its respects. Much has been done in understanding its structure, especially the phonetic and syntactic aspects. Less, however, is understood its semantics. There are many linguistic systems, often作者: DAMP 時間: 2025-3-30 21:31
https://doi.org/10.37307/b.978-3-503-21164-7rwise be possible to be made; and 2) epistemiological, to express and extend our knowledge of the world. Models are helpful for explanation and theory formation, as well as simplication and concretization. Zimmermann (1980) classifies models into three groups: 1) formal models (purely axiomatic syst作者: 有其法作用 時間: 2025-3-31 04:27
,Das Verfahren (Grunds?tzliches),obabilities of the results of the tests, or the probabilities of the modalities of the operators. In the case where the tests or operators depend on imprecise factors, such as the accuracy of physical measurements or the linguistic description of variables, the questionnaires take into account coeff作者: Dungeon 時間: 2025-3-31 05:46
