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Technologies for Constructing Intelligent Systems 1: Tasks

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Computing with Words.- A new direction in 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 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 A possibilistic approach.- A methodology to improve object oriented database systems with fuzzy types.

416 pages, Paperback

Published November 26, 2012

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Bernadette Bouchon-Meunier

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