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標(biāo)題: Titlebook: Analysis and Decision Making in Uncertain Systems; Zdzislaw Bubnicki Book 2004 Springer-Verlag London 2004 Analysis.computer.decision supp [打印本頁(yè)]

作者: 突然    時(shí)間: 2025-3-21 18:27
書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems影響因子(影響力)




書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems被引頻次




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書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems讀者反饋




書(shū)目名稱(chēng)Analysis and Decision Making in Uncertain Systems讀者反饋學(xué)科排名





作者: 骨    時(shí)間: 2025-3-21 23:42
Communications and Control Engineeringhttp://image.papertrans.cn/a/image/156174.jpg
作者: 漂亮才會(huì)豪華    時(shí)間: 2025-3-22 01:58

作者: sigmoid-colon    時(shí)間: 2025-3-22 06:45

作者: 公司    時(shí)間: 2025-3-22 09:08

作者: 淡紫色花    時(shí)間: 2025-3-22 14:15
The Importance of Detail: TolerancesIn the previous chapters the decision problems for non-deterministic plants with different descriptions of the uncertainty (different forms of the knowledge representation) have been considered. The typical procedure of finding the deterministic decision algorithm has been as follows:
作者: Abnormal    時(shí)間: 2025-3-22 20:45
Parametric Optimization of Decision Systems,In the previous chapters the decision problems for non-deterministic plants with different descriptions of the uncertainty (different forms of the knowledge representation) have been considered. The typical procedure of finding the deterministic decision algorithm has been as follows:
作者: 殺人    時(shí)間: 2025-3-22 21:45

作者: notice    時(shí)間: 2025-3-23 02:34
978-1-84996-909-3Springer-Verlag London 2004
作者: 導(dǎo)師    時(shí)間: 2025-3-23 08:52

作者: 改變立場(chǎng)    時(shí)間: 2025-3-23 13:17
Shape Modifying by Material Removal so-called . may be used to formulate and solve the analysis and decision problems [17, 18, 19, 21–24, 26, 29]. The main idea of this method consists in replacing individual reasoning concepts based on inference rules by unified algebraic procedures based on the rules in two-value logic algebra.
作者: 把…比做    時(shí)間: 2025-3-23 16:43

作者: 啜泣    時(shí)間: 2025-3-23 19:50

作者: 發(fā)起    時(shí)間: 2025-3-24 00:31
The Importance of Detail: Tolerancesave been developed for several decades, starting with such concepts and tools as adaptation, stochastic optimization and statistical decision theory (see e.g. [2, 3, 68, 79, 80]). The first period of this development was devoted to systems described by traditional mathematical models with unknown pa
作者: 不能仁慈    時(shí)間: 2025-3-24 04:44

作者: anaphylaxis    時(shí)間: 2025-3-24 10:04
Shape Modifying: Retaining Material parameters in the function or in the relation describing the plant are assumed to be values of random variables with the given probability distributions. In the non-parametric case, the plant is described by the given conditional probability distribution. The foundations of random variables and pro
作者: BABY    時(shí)間: 2025-3-24 12:30

作者: 不易燃    時(shí)間: 2025-3-24 17:58

作者: mucous-membrane    時(shí)間: 2025-3-24 19:44
Shape Modifying: Retaining Material for random and uncertain variables. In Sect. 6.1, a very short description of fuzzy variables (see e.g. [69, 71, 74, 75, 84, 103, 104]) is given in the form needed to formulate our problems and to indicate analogies for non-parametric problems based on random, uncertain and fuzzy variables. These a
作者: 他一致    時(shí)間: 2025-3-24 23:27
Shape Modifying by Material Removal so-called . may be used to formulate and solve the analysis and decision problems [17, 18, 19, 21–24, 26, 29]. The main idea of this method consists in replacing individual reasoning concepts based on inference rules by unified algebraic procedures based on the rules in two-value logic algebra.
作者: seruting    時(shí)間: 2025-3-25 07:14
Shape Modifying: Retaining Materialdescribed by traditional functional models or by relational knowledge representations. Special attention is paid to the relational plants and the descriptions based on uncertain variables [22, 54]. The considerations are completed with the optimization of a random and uncertain multistage decision p
作者: olfction    時(shí)間: 2025-3-25 07:52

作者: 小說(shuō)    時(shí)間: 2025-3-25 15:35
Effort Incentives and Monetary Rewardsonsists here in . knowledge validation and updating [20, 28, 32, 34, 37, 51, 54]. At each step one should prove if the current observation “belongs” to the knowledge representation determined before this step (.) and if not — one should modify the current estimation of the parameters in the knowledg
作者: Hyperplasia    時(shí)間: 2025-3-25 18:21

作者: nonchalance    時(shí)間: 2025-3-25 23:35
https://doi.org/10.1007/b137964any applications to manufacturing and computer systems (see e.g. [8]). This chapter is concerned with the control of the complex of parallel operations containing unknown parameters in the relational knowledge representation. The complex of parallel operations is considered here as a specific uncert
作者: 母豬    時(shí)間: 2025-3-26 02:38
Limits to Incentive Contracts in Politics the previous chapters. In this chapter recognition problems based on the relational and logical knowledge representation are described. Classical methods based on probabilistic description and new approaches (application of uncertain variables are the learning process consisting in the knowledge va
作者: 參考書(shū)目    時(shí)間: 2025-3-26 05:57
https://doi.org/10.1007/b137964ations. For the systems with different formal models of uncertainty, a uniform description of analysis and decision making problems has been presented and discussed. A special emphasis has been put on new approaches:
作者: 惹人反感    時(shí)間: 2025-3-26 11:32
Book 2004 knowledge-based decision support systems. The main aim of this book is to present a unified, systematic description of analysis and decision problems in a wide class of uncertain systems described by traditional mathematical models and by relational knowledge representations. A part of the book is
作者: NICE    時(shí)間: 2025-3-26 14:19
The Importance of Detail: Tolerancesng under uncertainty are especially important for design of computer control and management systems based on incomplete or imperfect knowledge of a decision plant. Consequently, problems of analysis and decision making in uncertain systems are related to the following fields:
作者: avulsion    時(shí)間: 2025-3-26 20:25
Introduction to Uncertain Systems,ng under uncertainty are especially important for design of computer control and management systems based on incomplete or imperfect knowledge of a decision plant. Consequently, problems of analysis and decision making in uncertain systems are related to the following fields:
作者: agnostic    時(shí)間: 2025-3-26 21:40
Shape Modifying by Material Removalthe input and output properties have the form “ . = .* ” and “ . = .* ”, respectively. For the relational plant the respective properties have the form “ . ∈ .. ” and “ . ∈ .. ” where .. and .. are subsets of . and ., respectively.
作者: 條街道往前推    時(shí)間: 2025-3-27 02:26
Designing for Joining and Assemblyics described in Sects. 4.1 and 4.2. It is worth noting that the uncertain logics and variables are defined for any metric space . (the set of values). Starting from Sect. 4.4, the considerations are concerned with a real number vector space ..
作者: 放逐    時(shí)間: 2025-3-27 09:15
Relational Systems,the input and output properties have the form “ . = .* ” and “ . = .* ”, respectively. For the relational plant the respective properties have the form “ . ∈ .. ” and “ . ∈ .. ” where .. and .. are subsets of . and ., respectively.
作者: 窒息    時(shí)間: 2025-3-27 13:13
Uncertain Logics and Variables,ics described in Sects. 4.1 and 4.2. It is worth noting that the uncertain logics and variables are defined for any metric space . (the set of values). Starting from Sect. 4.4, the considerations are concerned with a real number vector space ..
作者: Hallowed    時(shí)間: 2025-3-27 16:02

作者: Offensive    時(shí)間: 2025-3-27 18:43
Shape Modifying: Retaining Materialrocess (dynamic programming under uncertainty) and with applications to a class of assembly systems. Other considerations for dynamical systems are presented in Chapter 9 (uncertain, random and fuzzy controllers in closed-loop systems), in Chapter 10 (stability) and in Chapter 11 (dynamical learning systems).
作者: sinoatrial-node    時(shí)間: 2025-3-27 21:56
Limits to Incentive Contracts in Politicsthen the description of unknown parameters in the relations, using random or uncertain variables, forms the second (the upper) level of uncertainty or the second-order uncertainty, as was explained in Sect. 3.6 for the relational and random levels. The first part of this chapter concerns this kind of complex problems.
作者: Genome    時(shí)間: 2025-3-28 02:11
Application of Random Variables,babilistic theory are presented in many books in this classical area (see e.g. [66, 73, 94]). In Sect. 1.1, a very short description of random variables is given to introduce the notation and to bring together formalisms concerning random, uncertain and fuzzy variables in a unified framework.
作者: 格言    時(shí)間: 2025-3-28 07:36

作者: Favorable    時(shí)間: 2025-3-28 10:57
Complex Problems and Systems,then the description of unknown parameters in the relations, using random or uncertain variables, forms the second (the upper) level of uncertainty or the second-order uncertainty, as was explained in Sect. 3.6 for the relational and random levels. The first part of this chapter concerns this kind of complex problems.
作者: 委派    時(shí)間: 2025-3-28 18:00

作者: 千篇一律    時(shí)間: 2025-3-28 20:47

作者: 牌帶來(lái)    時(shí)間: 2025-3-29 02:07

作者: artless    時(shí)間: 2025-3-29 03:09

作者: Accessible    時(shí)間: 2025-3-29 08:47
Application of Uncertain Variables,nty distributions given by an expert. In the non-parametric case, the plant is described by the conditional certainty distribution characterizing the expert’s knowledge of the plant. The considerations are analogous to those for the random variables in Chapter 3.
作者: insightful    時(shí)間: 2025-3-29 15:06
Fuzzy Variables, Analogies and Soft Variables,he form needed to formulate our problems and to indicate analogies for non-parametric problems based on random, uncertain and fuzzy variables. These analogies lead to a generalization in the form of soft variables and their applications to non-parametric decision problems.
作者: 臨時(shí)抱佛腳    時(shí)間: 2025-3-29 15:42
Pattern Recognition,hods based on probabilistic description and new approaches (application of uncertain variables are the learning process consisting in the knowledge validation and updating) are presented and discussed in a uniform way, as specific analysis and decision problems with the descriptions of the uncertainty considered in Chapters 3, 5, 6, 7, 11.
作者: CURB    時(shí)間: 2025-3-29 21:51

作者: CLASP    時(shí)間: 2025-3-30 02:34
Relational Systems,he function 0 considered in Sect. 1.3. Consequently, for the given relation, the output is not determined by the input. The analysis problem consists in finding the . (or the set of possible outputs) for the given . (or the given set of inputs), and the decision problem consists in finding the . (or
作者: Concomitant    時(shí)間: 2025-3-30 05:43
Application of Random Variables, parameters in the function or in the relation describing the plant are assumed to be values of random variables with the given probability distributions. In the non-parametric case, the plant is described by the given conditional probability distribution. The foundations of random variables and pro
作者: 六邊形    時(shí)間: 2025-3-30 11:41
Uncertain Logics and Variables,ncertain systems [44, 46, 54]. The uncertain variable is described by a certainty distribution given by an expert and characterizing his or her knowledge on approximate values of the variable. The uncertain variables are related to random and fuzzy variables, but there are also essential differences
作者: Microgram    時(shí)間: 2025-3-30 16:23
Application of Uncertain Variables,case, we assume that the unknown parameters in the function or the relation describing the plant are values of uncertain variables described by certainty distributions given by an expert. In the non-parametric case, the plant is described by the conditional certainty distribution characterizing the
作者: inculpate    時(shí)間: 2025-3-30 20:22
Fuzzy Variables, Analogies and Soft Variables, for random and uncertain variables. In Sect. 6.1, a very short description of fuzzy variables (see e.g. [69, 71, 74, 75, 84, 103, 104]) is given in the form needed to formulate our problems and to indicate analogies for non-parametric problems based on random, uncertain and fuzzy variables. These a
作者: Hectic    時(shí)間: 2025-3-30 21:24
Systems with Logical Knowledge Representation, so-called . may be used to formulate and solve the analysis and decision problems [17, 18, 19, 21–24, 26, 29]. The main idea of this method consists in replacing individual reasoning concepts based on inference rules by unified algebraic procedures based on the rules in two-value logic algebra.
作者: 嬉耍    時(shí)間: 2025-3-31 03:29
Dynamical Systems,described by traditional functional models or by relational knowledge representations. Special attention is paid to the relational plants and the descriptions based on uncertain variables [22, 54]. The considerations are completed with the optimization of a random and uncertain multistage decision p
作者: 矛盾心理    時(shí)間: 2025-3-31 07:52

作者: 抗體    時(shí)間: 2025-3-31 12:23





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