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