Titlebook: Recent Developments and the New Direction in Soft-Computing Foundations and Applications; Selected Papers from Lotfi A. Zadeh,Ronald R. Yag

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Frequent Itemset Mining for a Combination of Certain and Uncertain Databases FIM problem can be solved by standard traditional algorithms like Apriori in certain transactional database and can also be solved by different exact (UApriori, UFP Growth) and approximate (Poisson Distribution based UApriori, Normal Distribution based UApriori) probabilistic frequent itemset minin

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AGOG

A Hierarchy-Aware Approach to the Multiaspect Text Categorization Problemit assumes a hierarchy of categories, and documents are assigned to leaves of a category but within categories documents are further structured into sequences of documents, referred to as cases. This is much more complex than the classic text categorization. Previously, we proposed a number of appro

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Game Approach to Fuzzy Measurementn a group of learning automata characterized with simple number parameters. The fuzzy measuring implemented as a game which is played sequentially with one automaton at a time, the result of the game defines next automaton to be played with. This game provides some measuring system that is very clos

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ARENA

Rankings and Total Orderings on Sets of Generalized Fuzzy Numbersn of generalized fuzzy numbers are presented for establishing goodness criteria. This paper initially proposes four criteria for judging the goodness of a given ranking or total ordering defined on a set of generalized fuzzy numbers and then discusses the methods of rankings and total orderings whic

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A Hybrid Genetic Algorithm for Minimum Weight Dominating Set Problemworks. In this paper, we present a new hybrid genetic algorithm. Also, we propose a new heuristic algorithm for MWDS to create initial population. We test our hybrid genetic algorithm on (Jovanovic et al., Proceedings of the 12th WSEAS international conference on automatic control, modeling and simu