Technologies for constructing intelligent systems
Author(s)
Bibliographic Information
Technologies for constructing intelligent systems
（Studies in fuzziness and soft computing, vol. 89-90）
Physica-Verlag, 2002
- v. 1 : tasks
- v. 2 : tools
Available at / 6 libraries
-
v. 1 : tasks007.1//TE13//014611200401468,
v. 2 : tools007.1//TE13//014711200401476 -
University of Tsukuba Library, Library on Library and Information Science
v. 1 : tasks007.1-B67-110002306601,
v. 2 : tools007.1-B67-210002306602 -
Doshisha University Library (Imadegawa)
v. 1, tasksZ007.13;B9145;167;0361000544,
v. 2, toolsZ007.13;B9145;267;0361000552 -
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Note
Includes references
Description and Table of Contents
- Volume
-
v. 1 : tasks ISBN 9783790814545
Description
Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book deals with the theory behind the solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methodologies for these cases are discussed, among which are probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks. One purpose of the book is to consider how these methods can be used cooperatively. Topics included in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, bayesian networks and other network methods, as well as logic-based systems.
Table of Contents
Computing with Words.- A new direction in AI: Toward a computational theory of perceptions.- Combining fuzzy and case-based reasoning to generate human-like music performances.- A fuzzy-rough approach to the representation of linguistic hedges.- Dealing with imprecise inputs in a fuzzy rule-based system using an implication-based rule model.- Constructing rough mereological granules of classifying rules and classifying algorithms.- Criticality in the network with imprecise activity times.- Object-oriented implementation of a model for fuzzy temporal reasoning.- A symbolic approach to syllogistic reasoning.- On algebraic foundations of information granulation.- Decision and Preferences.- On the issue of consistency in dynamical consensual aggregation.- A group decision support system based on linguistic multicriteria assessments.- Integral representations and decision theory.- Can qualitative utility criteria obey the sure thing principle?.- Pseudo-additive measures and the independence of events.- On discrete preference structures.- Families of valued sets as media.- A general framework for ordering fuzzy sets.- Learning, Classification and Clustering.- Pattern extraction method for text classification.- A comparison of rough set strategies for pre-term birth data.- Toward the intelligent control of hierarchical clustering.- Combining both a fuzzy inductive learning and a fuzzy repertory grid method.- An approach to computational microtexture perceptual detection with management of uncertainty.- Bagging improves uncertainty representation in evidential pattern classification.- Non-Euclidean genetic FCM clustering algorithm.- Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology.- Retrieval of Information.- Evaluation of flexible queries: The quantified statement case.- Intelligent filtering with genetic algorithms and fuzzy logic.- Using semantic and phonetic term similarity for spoken document retrieval and spoken query processing.- Knowledge-based extrapolation of cases: A possibilistic approach.- A methodology to improve object oriented database systems with fuzzy types.
- Volume
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v. 2 : tools ISBN 9783790814552
Description
Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.
Table of Contents
Fundamental Issues in Uncertainty.- Epistemology probabilized.- Stochastic independence for upper and lower probabilities in a coherent setting.- Qualitative possibilistic independence based on plausibility relations.- Independence concepts for belief functions.- Conditional possibility and necessity.- The membership problem for probabilistic and data dependencies.- Belief functions induced by randomized communication channels.- Quantifying the correlation between two interval-valued random sets.- How information measure changes due to unreliability.- Aggregation Methods.- On the aggregation of some classes of fuzzy relations.- Ordinal sums of aggregation operators.- Aggregation principle in the theory of nonlinear PDE.- Approximation of membership functions and aggregation operators using splines.- The ordered weighted geometric operator: properties and application in MCDM problems.- On dominance and dispersion of a class of weighting lists.- Fuzzy Sets.- On the definition of coherence measure for fuzzy sets.- Characterizing k-additive fuzzy measures.- Design of Takagi-Sugeno controllers using piecewise constant functions and a normalized fuzzification transform.- Fuzzy temporal rules: A rule-based approach for fuzzy temporal knowledge representation and reasoning.- On a new method to T-transitive fuzzy relations.- Intuitionistic fuzzy relations and measures of consensus.- A soft design of acceptance sampling plans by variables.- Network Based Technologies.- On the problem of performing exact partial abductive inference in Bayesian belief networks using junction trees.- Computing probabilities of events in Bayesian networks.- Approximate Bayesian networks.- Stochastic algorithms for searching causal orderings in Bayesian networks.- SYMBIONT: A cooperative evolutionary model for evolving artificial neural networks for classification.- Functional equivalence between S-neural networks and fuzzy models.- Logic and Logic Based Systems.- Towards mathematical morpho-logics.- Fuzzy sets from a mathematical-naive point of view.- On the implementation of Fril++ for object-oriented logic programming with uncertainty and fuzziness.- On some simplifications of the axiomatization of monoidal logic.- Logical measure - structure of logical formula.
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