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[in Japanese]
Article type: Article
1999 Volume 11 Issue 5 Pages
705-
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Ichiro NISHIZAKI
Article type: Article
1999 Volume 11 Issue 5 Pages
706-720
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Fumiko SEO
Article type: Article
1999 Volume 11 Issue 5 Pages
721-733
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Nobuyuki NAKAJIMA
Article type: Article
1999 Volume 11 Issue 5 Pages
734-744
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Masaaki KUROSU
Article type: Article
1999 Volume 11 Issue 5 Pages
745-753
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Ichiro NISHIZAKI
Article type: Article
1999 Volume 11 Issue 5 Pages
754-758
Published: October 15, 1999
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Mitsuru KAWAMOTO
Article type: Article
1999 Volume 11 Issue 5 Pages
759-762
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Article type: Bibliography
1999 Volume 11 Issue 5 Pages
763-766
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Junzo WATADA
Article type: Article
1999 Volume 11 Issue 5 Pages
767-769
Published: October 15, 1999
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Tomoharu NAKASHIMA
Article type: Article
1999 Volume 11 Issue 5 Pages
770-772
Published: October 15, 1999
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Kazuhiro OZAWA
Article type: Article
1999 Volume 11 Issue 5 Pages
773-774
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Yukinori SUZUKI
Article type: Article
1999 Volume 11 Issue 5 Pages
775-776
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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[in Japanese]
Article type: Article
1999 Volume 11 Issue 5 Pages
777-778
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
JOURNAL
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[in Japanese]
Article type: Article
1999 Volume 11 Issue 5 Pages
779-
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
JOURNAL
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[in Japanese], [in Japanese]
Article type: Article
1999 Volume 11 Issue 5 Pages
779-
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
JOURNAL
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[in Japanese]
Article type: Article
1999 Volume 11 Issue 5 Pages
780-
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
JOURNAL
FREE ACCESS
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[in Japanese]
Article type: Article
1999 Volume 11 Issue 5 Pages
780-
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Masatoshi SAKAWA, Ryo KUBOTA
Article type: Article
1999 Volume 11 Issue 5 Pages
781-788
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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In this paper, focusing on job shop scheduling with fuzzy duedate and fuzzy processing time, multiobjective fuzzy job shop scheduling problems are formulated as three-objective ones which not only maxmize the minimum agreement index but also maxmize the average agreement index and minimize the maximum fuzzy completing time. Having elicited the linear membership functions for the fuzzy goals of the decision maker, we adopt the fuzzy decision of Bellman and Zadeh. Then genetic algorithms which are suitable for solving the formulated problems are proposed. As illustrative numerical examples, both 6×6 and 10×10 three-objective job shop scheduling problems with fuzzy duedate and fuzzy processing time are considered, and the feasibility and effectiveness of the proposed method are demonstrated.
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Asuka YAMAKAWA, Muneki NEMOTO, Hidetomo ICHIHASHI, Tetsuya MIYOSHI, Na ...
Article type: Article
1999 Volume 11 Issue 5 Pages
789-796
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Image Technology or Kansei Engineering, which has become important for product designers, is a tool to analyze relation between design components and perceptual feelings by selecting adjective-type words and to translateconsumer's image or feeling into product design components. In this paper we deal with "up-to-date" feeling of CI symbol marks, which has similar pattern to Japanese national flag whose design components are the locations of circles relieved in white. Strongly nonlinear multi-variate functions, for example the artificial neural network models, hardly bring about insights about the local relationships between inputs and outputs. For the analysis of psychological feelings a weakly nonlinear version of Fuzzy c-Regression Models by Hathaway and Bezdek is applied. Minimization of a Lagrangian function yields simultaneous estimates for the parameters of projection pursuit regression models, together with a fuzzy partitioning of mixed data. The data in each fuzzy cluster is projected in a single dimensional space and latent local weakly nonlinear(increasing, decreasing or unimodal)relationships between independent observations and their corresponding dependent observation can be found. For the fuzzy clustering we adopt the entropy regularization by Miyamoto et al.
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Yoshiteru NAKAMORI, Ai KAWANAKA
Article type: Article
1999 Volume 11 Issue 5 Pages
797-807
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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Kansei Engineering and Kansei Information Processing are often used recently to understand the impression or feeling of people for physical objects. A set of qualitative data obtained by rating a product usually has a large variance reflecting tastes and preferences of individuals. It is sensible to express such fluctuations by fuzzy numbers to treat vagueness and uncertainty of the feeling of individuals. This paper proposes a factor analysis technique for fuzzy data of rating scores measured by words that are mainly adjectives. Fuzzy factor loading is determined as fuzzy numbers through a data mapping technique. Thus, words are identified as fuzzy objects in the factor space. After fuzzy distances between words in the factor space are defined, a number of clustering techniques are examined to obtain a partition of words.
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Keiichi NIWA, Ichiro NISHIZAKI, Masatoshi SAKAWA
Article type: Article
1999 Volume 11 Issue 5 Pages
808-815
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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In this paper, we consider decentralized two-level zero-one programming problems in which there are one decision maker(the leader)at the upper level and two or more decision makers(the followers)at the lower level, and decision variables of each decision maker are zero-one variables. We assume that the followers respond by choosing a Nash equilibrium solution for a given decision of the leader. On the assumption, the leader makes a decision so as to minimize his/her objective function. We call a set of the decision of the leader and the response of the followers the stackelberg-Nash solution. Based on the genetic algorithms, a computational method for obtaining Stackelberg-Nash solutions to the decentralized two-level 0-1 programming problem is developed. To demonstrate feasibility and effectiveness of the methods, computational experiments are carried out.
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Yuichi ABE, Masafumi HAGIWARA
Article type: Article
1999 Volume 11 Issue 5 Pages
816-822
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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A new approach for recognizing an object from a 2D image is proposed in this paper. In the proposed method, coarse 3D model for an object is prepared in advance. We employ the skeleton model as the 3D model to treat many objects which belong to the same category. A skeleton model can be represented by some straight lines. In the proposed method, first, the input image is transformed to the binary image and the binary image is thinned. Then the skeleton model is matched to the thinned image using a Genetic Algorithm(GA). In this matching process, the skeleton model is rotated, magnified or reduced in 3D space and the model is projected onto 2D space to match with the thinned image. In this way, the 2D images observed from various points of view can be obtained. If the object is recognized, the 3D shape of the object can be estimated. We treat the upper half of the human body as an example of an object in this paper, and computer simulation results indicate the validity of the proposed method.
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Toshio KOMATSUZAKI
Article type: Article
1999 Volume 11 Issue 5 Pages
823-829
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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In this paper, we investigate the characteristics of the fuzzy control system in the membership function's overlap region. That is, first, we divide the state space and assign the system satisfying a condition in each divided region by the linear state feedback control. And, using the membership function defined in this paper, we infer the whole feedback control of the system by the fuzzy reasoning. Next, we show that this system has the composite eigenvector and eigenvalue in the membership function's overlap region. Then, we calculate the composite eigenvector for a two dimensional control system, and investigate the characteristics of the composite eigenvector. Lastly, we show a simple calculation method of the membership function values which produce the composite eigenvalue for the system with the scalar control. And, using this method, we propose a design method of the system which has the given composite eigenvalues.
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Yoshinori YAMAMOTO
Article type: Article
1999 Volume 11 Issue 5 Pages
830-840
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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In the past papers, the author proposed a synthesis method of the approximate reasoning engine by means of a newly defined functions : the infinitely multi-valued threshold functions. The essential point of the method is to represent the hipersurface which a rule table expresses by the formula of the infinitely multi-valued threshold function. It is shown in the papers that the proposed method is effective to the process control. This paper discusses an unsolved problem in the synthesis method. The problme is to represent the rule table having the complicated properties such as non-unateness/non-linearlity etc.by one formula. As shown in the previous paper[10], a targetting hipersurface may be approximately realized by obtaining the finitely multi-valued logic function which the lattice points(correspondding to integer element I/Os)express and by giving analogue inputs to the function's formula. Thus, the question results in the realization problem of any finitely multi-valued logic function by threshold gates. For the problem, however, no computer-oriented simple methods were known. This paper proposes a multistage synthesis method of the thrershold gates by using Genetic Algorithm and Threshold Theory. The point of the method is as follows. First, we consider genotypes built of integer elements. We set initial integer values in the genotypes so that "the maximum weight" of a finitely multi-valued threshold function may be generated. Next, we apply the genetic argorithm to the genotypes. The complicated rule tables shown in the previous papers have been realized by a network of the threshold gates assuming analogue inputs. Together with the experiments of the realization, the capability of the method is discussed through another examples.
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Yongli HUANG, Seiji YASUNOBU
Article type: Article
1999 Volume 11 Issue 5 Pages
841-847
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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It is difficult to design a fuzzy controller because there are many parameters should be adjusted. In this paper a new methodology is proposed for designing a fuzzy logic controller. Control surface is used to bridge the gap between the conventional PID controller and fuzzy controller. Based on a system model the conventional PID control parameters are tuning and its linear control surface is used as the knowledge basis for a fuzzy controller. This fuzzy controller is optimized by computer-aided design system according to the restriction condition of control response. The tuned control surface of the fuzzy control have non-linear properties which is corresponding to the controlled plant. The proposed method is applied to a non-linear control system design and simulation shows it is robust when the controlled system model has error and when it is in different initial conditions. Its effectiveness has been proved that it is a practical method for designing fuzzy controller.
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Shunsuke HORAl, Taiji YAMADA, Jun TAKAHASHI, Kazuyuki AIHARA, Yoshiyuk ...
Article type: Article
1999 Volume 11 Issue 5 Pages
848-854
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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The stationarity of time series is assumed in many methods of time series analysis such as the chaotic time series analysis. Thus, it is important to analyze the stationarity before applying such methods to observed time series. We analyze the stationarity of respiration time series of newborn infants with KM_2O-Langevin equations. We apply the analysis to long time series of preterm and term infants. At first the local stationarity within short time windows is investigated, then the global stationarity of the entire time series is estimated on the basis of the result of the local stationarity analysis. Our numerical results show that the local stationarity decreases in parts where the amplitude suddenly varies as typically observed in prolonged apnea, and that the global stationarity of the time series of preterm infants tends to be lower than that of term infants.
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Hugang HAN, Chun-Yi SU, Shuta MURAKAMI
Article type: Article
1999 Volume 11 Issue 5 Pages
855-863
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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In a recent work of[3], a robust adaptive fuzzy controller was proposed for a class of nonlinear systems in the presence of dominant uncertain nonlinearities. However, in the scheme only the parameters(weights), which appear linearly in the radial basis function expansion, were tuned. To further improve the tracking performance of the control systems, in this paper a novel adaptive fuzzy controller is proposed. This new controller not only can tune the weighting parameters, but also can tune the parameters, which appear nonlinearly. Hence, the approximation capability to capture the fast changing system dynamics is enhanced and the range of the applicability of the method in[3]can be broadened. The method is confirmed through computer simulation.
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1999 Volume 11 Issue 5 Pages
864-887
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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1999 Volume 11 Issue 5 Pages
888-
Published: October 15, 1999
Released on J-STAGE: January 08, 2018
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