The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning ...
WeiterlesenDecision modeling is a key area in the developing field of AI, and this timely work connects researchers and professionals ...
WeiterlesenThis book constitutes the refereed proceedings of the Third International Conference on Modeling Decisions for Artificial ...
WeiterlesenThis book covers the underlying science and application issues related to aggregation operators, focusing on tools used in ...
WeiterlesenPresents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and ...
WeiterlesenThis book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization ...
WeiterlesenThe fields of similarity and preference are still broadening due to the exploration of new fields of application. This is ...
WeiterlesenThis book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems ...
WeiterlesenThis volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, ...
WeiterlesenIn 1965 Lotfi Zadeh, a professor of electrical engineering at the University of California in Berkeley, published the first ...
WeiterlesenThe ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem ...
WeiterlesenThis book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy ...
WeiterlesenThe LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from ...
WeiterlesenThe LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical ...
WeiterlesenVolume V of the Transactions on Rough Sets (TRS) is dedicated to the monu-mental life and work of Zdzis law Pawlak1. During ...
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