H
Hideo Tanaka
Researcher at Osaka Prefecture University
Publications - 116
Citations - 6259
Hideo Tanaka is an academic researcher from Osaka Prefecture University. The author has contributed to research in topics: Fuzzy classification & Fuzzy logic. The author has an hindex of 31, co-authored 116 publications receiving 6051 citations.
Papers
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Selecting fuzzy if-then rules for classification problems using genetic algorithms
TL;DR: A genetic-algorithm-based method for selecting a small number of significant fuzzy if-then rules to construct a compact fuzzy classification system with high classification power is proposed.
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Distributed representation of fuzzy rules and its application to pattern classification
TL;DR: This paper introduces the concept of distributed representation of fuzzy rules and applies it to classification problems, and proposes a fuzzy inference method using the generated fuzzy rules.
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Multi-objective genetic algorithm and its applications to flowshop scheduling
TL;DR: In this paper, a multi-objective genetic algorithm was proposed for flow shop scheduling with a concave Pareto front and the performance of the algorithm was examined by applying it to the flowshop scheduling problem with two objectives: minimizing the makespan and minimizing the total tardiness.
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Fuzzy DEA: a perceptual evalution method
Peijun Guo,Hideo Tanaka +1 more
TL;DR: A fuzzy DEA model is proposed to deal with the efficiency evaluation problem with the given fuzzy input and output data and the crisp efficiency in CCR model is extended to be a fuzzy number to reflect the inherent uncertainty in real evaluation problems.
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Genetic algorithms for flowshop scheduling problems
TL;DR: This paper applies a genetic algorithm to flowshop scheduling problems and examines two hybridizations of the genetic algorithm with other search algorithms, showing two hybrid genetic algorithms: genetic local search and genetic simulated annealing.