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[in Japanese]
Article type: Article
2000 Volume 12 Issue 2 Pages
209-
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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Masahiro INUGUCHI, Masaaki IDA
Article type: Article
2000 Volume 12 Issue 2 Pages
210-217
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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Kaname KASAHARA, Kazumitsu MATSUZAWA
Article type: Article
2000 Volume 12 Issue 2 Pages
218-227
Published: April 15, 2000
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Kazuyuki YOSHIMURA
Article type: Article
2000 Volume 12 Issue 2 Pages
228-233
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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Article type: Bibliography
2000 Volume 12 Issue 2 Pages
234-236
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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[in Japanese]
Article type: Article
2000 Volume 12 Issue 2 Pages
237-239
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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Ning ZHONG
Article type: Article
2000 Volume 12 Issue 2 Pages
240-241
Published: April 15, 2000
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Yoichiro MAEDA
Article type: Article
2000 Volume 12 Issue 2 Pages
242-250
Published: April 15, 2000
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[in Japanese]
Article type: Article
2000 Volume 12 Issue 2 Pages
251-
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
JOURNAL
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[in Japanese]
Article type: Article
2000 Volume 12 Issue 2 Pages
251-
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
JOURNAL
FREE ACCESS
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[in Japanese]
Article type: Article
2000 Volume 12 Issue 2 Pages
252-
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
JOURNAL
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[in Japanese]
Article type: Article
2000 Volume 12 Issue 2 Pages
252-
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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Yutaka MATSUSHITA
Article type: Article
2000 Volume 12 Issue 2 Pages
253-265
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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In this paper, we first execute an extension from real variables to vector variables in the multilinear formula, and express the extended multilinear formula as "multilinear fuzzy integral of vector valued functions(Definition 5)." Moreover, we introduce as its application model to multiattribute decision making problems "partition type fuzzy integral(Proposition 2), " which is the only multilinear fuzzy integral of vector valued functions satisfying a condition for functionals to be multiattribute decision making models. We also carry out another extension to a functional expressed by integrals of differential forms(Corollary of Proposition 3)in order to construct a modeling functional for multiattribute decision making subject to time variation. As long as we construct such a modeling functional by the extension of multilinear formula, we obtain the theoretical conclusion that the functional has no interaction terms.
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Chang-Hoon LEE, Michio SUGENO
Article type: Article
2000 Volume 12 Issue 2 Pages
266-285
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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In this paper we deal with an extended fuzzy model with singleton consequents and discuss the stability of a closed-loop fuzzy system which models a generalized nonlinear system. First, we extend a fuzzy model and show stability conditions for unforced fuzzy systems. Next, we give a stability theorem for closed-loop fuzzy systems with feedback fuzzy controllers. Then we introduce a fuzzy pseudolinearization algorithm for stabilizing control. Examples show the effects of the extended fuzzy model and the stability conditions.
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Kazunori WATASE
Article type: Article
2000 Volume 12 Issue 2 Pages
286-294
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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The purpose of this research is to extraxt rules from the contingency table. Often the rules are expressed by using a decision tree. ID3, C4.5 and See5/C5.0 were proposed as the methods that constituted a decision tree efficiently. When expressing the knowledge using a decision tree, there is the risk of the obtained knowledge varying considerably as the root variable changes. It is unfavorable that the rules change largely, if the purpose of knowledge acquisition is interpretation of the observational results. Furthermore, the decision tree tends to overlook some of the variables that have similar effect. These are caused by the methods in which the rules are composed one by one through dividing the observational data. So, in this paper, not divisions but fusions are used to get a few rules. It could be understood that the rules are more detailed than those obtained by using ID3 or See5/C5.0.
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Mitsuo GEN, Yinzhen LI, Kenichi IDA
Article type: Article
2000 Volume 12 Issue 2 Pages
295-303
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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In this paper, we present a genetic algorithm with spanning tree representation for solving bicriteria fixed charge transportation problem. First we consider the fixed charge transportation problem with single objective function by the spanning tree-based genetic algorithm, and then extend this GA approach to solve the bicriteria problem. Due to the bicriteria program, the fitness function is constructed by one of the dynamic scalind which considers normalizing for the different data from the bicriteria region. The proposed genetic algorithm can be found the Pareto optimal solutions in the bicriteria space. Computational results will show the performance of the spanning tree-based genetic algorithm.
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Masatoshi SAKAWA, Ichiro NISHIZAKI, Yoshio UEMURA, Masatoshi HITAKA
Article type: Article
2000 Volume 12 Issue 2 Pages
304-312
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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In this paper, we present interactive fuzzy programming through genetic algorithms, which are reproted their effectiveness to solving nonconvex nonlinear programming problems, for multi-level nonconvex nonlinear programming problems. In the proposed method, fuzzy goals for objective function of each decision maker and the ratio of satisfactory degrees of decision makers at adjacent two levels are introduced to take the vague or fuzzy nature of human judgements into account, and mathematical programming problems for obtaining a satisfactory solution of a part of all the decision makers are successively solved to lead to a global satisfactory solution with which all the decision makers are willing to comply. By using the method, we can derive a satisfactory solution such that the decision makers at relatively upper levels are esteemed and overall satisfactory balance among the decision makers at all levels is taken into consideration. Finally, a numerical example is given to illustrate an interactive process that a satisfactory solution is derived.
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Toshiyuki YAMASHITA, Masahiro TAKAHASHI, Hideaki SAKAI, Toshihiro TAKE ...
Article type: Article
2000 Volume 12 Issue 2 Pages
313-320
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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We have been spending more time on interaction with computer systems in the information-oriented society. Human face-to-face interaction consists of both verbal communication and nonverbal communication such as facial expressions and gestures. Therefore we adopted facial expressions for human and computer interaction. We proposed a fuzzy reasoning model for selecting the face which expressed emotions caused by several situations. Nine faces with three levels of brow and eye deflection and three levels of mouth deflection were used to construct the fuzzy reasoning model in this study. The fuzzy reasoning model was applied to selecting the face which expressed emotions caused by the sentences written on the computer display. The questionnaire survey revealed the usefulness of our method as a human-computer interface.
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Tamotsu MITAMURA, Taka'aki WAKABAYASHI, Azuma OHUCHI
Article type: Article
2000 Volume 12 Issue 2 Pages
321-328
Published: April 15, 2000
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Fuzzy Structural Modeling Consists of Embedding Process and Extracting Process. Embedding Process is to construct a fuzzy reachability matrix from informations supplied by the developer. Extracting Process is to analyze the matrix and represent a structure of it. In this paper, Extracting Process with a hierarchy graph are proposed. The methods efficiently obtain and draw a hierarchy structure and connectivity on the set of elements of the fuzzy reachability matrix. Use of the methods makes it possible to do a flexible and an efficient modeling for complex and fuzzy systems.
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Jianqiang YI, Naoyoshi YUBAZAKI, Kaoru HIROTA
Article type: Article
2000 Volume 12 Issue 2 Pages
329-340
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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The SIRMs(Single Input Rule Modules)dynamically connected fuzzy inference model is applied to double inverted pendulum systems. The design methods of stabilization fuzzy controllers are presented, and the model is proved to be effective even in systems with six input items. For series-type double inverted pendulum system, a stabilization fuzzy controller is constructed, which handles six input items to cover the angular controls of the two pendulums and the position control of the cart. The method of determining each SIRM and each dynamic importance degree so that the angular control of the upper pendulum takes priority over the other two controls is discussed. It is made clear that by using the SIRMs and the dynamic importance degrees, the angular controls of the two pendulums and the position control of the cart are executed in parallel, and the priority orders of the three controls are automatically adjusted according to control situations. The simulation results show that the fuzzy controller has a high generalization ability to stabilize completely series-type double inverted pendulum systems of different parameter values in about 10 seconds. For parallel-type double inverted pendulum system, the angle and angular velocity of the two pendulums and the position and velocity of the cart are taken as input items, and a stabilization fuzzy controller is built which is similar to that of series-type double inverted pendulum system. By using the fuzzy controller, a parallel-type double inverted pendulum system can be stabilized completely within 10 seconds. This is the first time for a fuzzy controller to realize successfully complete stabilization control of a parallel-type double inverted pendulum system.
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Jianming DENG, Motohide UMANO, Tetsuhisa ODA, Yushi UNO
Article type: Article
2000 Volume 12 Issue 2 Pages
341-350
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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In this paper, several new results on the de Morgan and Kleene algebras are proposed. Firstly, several conditions that make a de Morgan algebra to be a Kleene algebra are considered.(1)A simple necessary and sufficient condition for it is given that can bring us some convenience in the study of de Morgan algebras and Kleene algebras. (2)The equivalence of eight sufficient conditions is proved. (3)It is also proved that a de Morgan algebra which satisfies one of the eight conditions is a Kleene algebra with sup W^+ and inf W^-. Secondly, the properties of the de Morgan algebras which satisfy two special conditions are explored and their relations are investigated. Thirdly, a direct and convenient method to obtain all the fixed points of a de Morgan algebra is introduced. And finally, some theorems on a complete de Morgan algebra are extended to the general case of removing the 'complete'.
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2000 Volume 12 Issue 2 Pages
351-355
Published: April 15, 2000
Released on J-STAGE: January 07, 2018
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