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Article type: Cover
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Published: November 16, 1995
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Article type: Index
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Published: November 16, 1995
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Article type: Appendix
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Published: November 16, 1995
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Article type: Appendix
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Published: November 16, 1995
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Article type: Appendix
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Published: November 16, 1995
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[in Japanese]
Article type: Article
Pages
4-
Published: November 16, 1995
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[in Japanese]
Article type: Article
Pages
5-
Published: November 16, 1995
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Article type: Index
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6-7
Published: November 16, 1995
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Article type: Appendix
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Published: November 16, 1995
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Taiichi SAITO
Article type: Article
Pages
9-
Published: November 16, 1995
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Teruyuki Hojo
Article type: Article
Pages
10-11
Published: November 16, 1995
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[in Japanese]
Article type: Article
Pages
12-15
Published: November 16, 1995
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Article type: Appendix
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App1-
Published: November 16, 1995
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Masaharu MIZUMOTO
Article type: Article
Pages
17-18
Published: November 16, 1995
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This paper shows that product-sum-gravity method whose consequent part consists of fuzzy set is reduced to fuzzy singleton-type reasoning method by regarding the area of fuzzy set of the consequent part as the weight of fuzzy singleton-type reasoning method. Moreover, it is shown that fuzzy singleton-type reasoning method is reduced to simplified reasoning method by multiplying fuzzy set in the antecedent part of simplified reasoning method by the weight of fuzzy singleton-type reasoning method. Therefore, these three fuzzy reasoning methods are found to be equivalent.
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Torao YANARU
Article type: Article
Pages
19-20
Published: November 16, 1995
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We talk about the present situation of the study on emotion and the facial expression in our laboratory, especially on how the image codes of facial pattern can be introduced and combined to the image codes of emotional words. Also discuss the future perspective of this kind research, introducing some useful other studies and topics on this subject besides our study.
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Naruki Shirahama, Torao Yanaru
Article type: Article
Pages
21-22
Published: November 16, 1995
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This paper introduces basic concepts of human cognitive model including emotional function. We show how to model including emotional function. We show how to construct the model by computer simulation. At first, We explain the theory for Subjective Observation Model (SOM), which have high applicability to several kinds of fields especially on the emotional processing. The Emotion we use here is based on Plutchik's theory in the fields of emotional psychology. Finally we show the attractive results by the computer simulation.
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Tatsumi HAMADA, Suguru UEDA
Article type: Article
Pages
23-24
Published: November 16, 1995
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Fractal theory gives us an effective method to describe quantitatively the complicated shape in nature. We applied the theory to analyze CT images. We utilized a scale conversion method to obtain fractal dimensions. Regions of interest were set on the right lobe of the liver on CT and the images were converted to digital data with pixels of 256x256 and densities of 6 bits. The scale was converted from 1x1 to 168x168 with 9 steps and the surface areas of the density profile were counted for each scale. The numbers of the surface areas and the scale were plotted against doubly logarithmic scale and a straight line was drawn by least square fits of data points. The fractal dimension was obtained from the slope of the line. As a result, the CT images of the liver showed fractality. Fractal dimensions of the normal and cirrhotic livers were compared.
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Yasuhisa Chiba
Article type: Article
Pages
25-26
Published: November 16, 1995
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The enhanced CT patterns of the thyroid glands in patient with malignant thyroid tumor were compared with those of benign by measuring the fractal dimensions which were estimated using the box-counting method. The mean fractal dimension was 1.404 ± 0.038 for the malignant tumor and 1.268 ± 0.023 for the benign (P<.001). Concequently, the fractal dimension is useful as a numeric grading of the complexity of the enhanced pattern of thyroid tumor.
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T. Yamakawa, E. Uchino, T. Miki, M. Morishita
Article type: Article
Pages
27-28
Published: November 16, 1995
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Cephalometric analysis of today is based on a line drawing produced by the expert from an original cephalogram and gives the estimation of measurement patterns through measurement points. This analysis causes some kinds of errors as well as troublesome loads for human experts. In order to cope with these problems, the new idea of fully automatic analysis is presented in this paper.
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H. Toyama, Y. Kimura, A. Taguchi, K. Uemura, Y. Matsumura, A. Kobayash ...
Article type: Article
Pages
29-30
Published: November 16, 1995
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Hidetomo Ichihashi
Article type: Article
Pages
31-32
Published: November 16, 1995
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Fuzzy IDS is a popular and efficient method of making a decision tree for classification from symbolic and numeric data with small computational cost. In this paper, a decision tree for employees' medical expenses in a corporation is induced in the form of fuzzy if-then rules. LMS learning is applied for tuning consequent part of the fuzzy rules.
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HIROSHI AMAN
Article type: Article
Pages
33-34
Published: November 16, 1995
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In decision making problem, it is natural to decide the problem including person's nature besides basic method such as AHP (Analytic Hierarchy Process ). The person's nature is expressed by a vector defined on n - dimensional space. The vector is classified into several categories related with the selection of the best alternative. The categories are mapped onto two - dimensional plane by a pair of the vectors defined on n - dimensional space. Thus we can visually analyze the character of categories, i.e. the person's nature, by the computer simulation.
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H. Yamashita, S. Shimizu, A. Yanai
Article type: Article
Pages
35-36
Published: November 16, 1995
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It could be more practical to represent the human relations using a fuzzy graph rather than a crisp form such as a hard cluster. According to the data obtained from several questionnairs, we could measure the connectivity degrees among members and construct its fuzzy graph. Using the fuzzy clusterings and order ings, we have developed its analysis method. Here, we would not only discuss our analysis method of fuzzy sociogram, but also illustrate its practical effectiveness through the case study.
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Hideyasu Hirano, Masahiro Yoshida, Junichi Doi, Keiichi Arashidani
Article type: Article
Pages
37-38
Published: November 16, 1995
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Effective approach would decrease mainly unknown root occupying 17 % of Japanese AIDS. We set PHF (public health factor) and calculated by fuzzy reasoning method without defuzzy process but with the number with the focus marks. From these results, we have to propose two strategies. One is to educate all students to be nurses during from elementary to high school. Another is to clean their hands anywhere and anyplace by setting washing hand devices.
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Sinzi Mochida, Torao Yanaru
Article type: Article
Pages
39-40
Published: November 16, 1995
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Recently,It's very inporttant to serch documents..So we research the method of serching documents. we used the Subjective Observation and FrameTheory. This theory can make the model which simulate the human activities. We got the interesting results by computersimulation.
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Article type: Appendix
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App2-
Published: November 16, 1995
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Guk Boh Kim, Kyung Sook Park, Hwan Mook Chung, Young Moon Chae, Mignon ...
Article type: Article
Pages
41-42
Published: November 16, 1995
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This paper was to study the system implementation method capabling preliminary diagnosis of nasal allergy. In this paper, after constructing rule base and case base respectively by basing on knowledge of doctor and questionnaire of patient, then putting information of patient for diagnosis, scanning each the base, the system was deciding on suitable diagnosis. This time, rule-base reasoning algorithm was constrcted by neural network and case-base reasoning algorithm was made by using fuzzy method.
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Akikazu TAMAKI, Maiko TARUKI, Kiyoshi KATO, Torao YANARU
Article type: Article
Pages
43-44
Published: November 16, 1995
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The line drawing is generated from input image by using neural network as feature detection. The primitive pattern is drawn on the output image according to the detected features. The local line segment is detected as the feature. The various output image is generated by changing the some parameters. This system has the problems to be solved, but we only discuss the problems concerning with the feature detection in this system.
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Suguru UEDA, Tatsumi HAMADA
Article type: Article
Pages
45-46
Published: November 16, 1995
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We proposed a fuzzy inference ruler using d'Ocaone's nomography in the meeting of BMFSA 1994. We were able to get results of fuzzy inference by the ruler without computer. However , it was difficult to make a membership function. So we propose a fuzzy inference ruler using neuro-learning method. We will be able to get a membership function automatically by using the method. It is expected that the fuzzy inference ruler using neuro-learning will be accepted and utilized. In this paper , we will first refer to the nomogram again, then discuss how to use neuro-learning method in the fuzzy inference ruler.
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E Takahashi, K Yoshida, K Izuno, H Sugimori, M Miyakawa, C Tanaka
Article type: Article
Pages
47-48
Published: November 16, 1995
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This paper aims to clarify the usefulness and problems when the neural network applied to epidemiological analysis. The occurrence of hypertension in 10 years was predicted by the neural network and ordinary logistic regression. The neural network model showed sex, age, blood pressure and uric acid as the significant variables to determine the occurrence. On the other hand, the logistic regression showed sex, age, total cholesterol, triglyceride and fasten plasma glucose as the significant variables. The results of the neural network model indicated the data set of the learning samples should be modified to improve learning ability of the neural network.
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Mikio MAEDA, Katsuhiko HAYASHIDA, Shuta MURAKAMI
Article type: Article
Pages
49-50
Published: November 16, 1995
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We propose the fuzzy modeling system using human's experience and the hulistic clustering. The hulistic clustering method separates the space of variables into some fuzzy subspaces, and then- are unified step by step. The modeling system consists of two parts ; the data analysis part and identification part. In this paper, we extend the hulistic clustemg for multi dimentional data. Finally, we show result for modeling of fuzzy logic controler.
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Nobuhiro Takao, Mami Hou
Article type: Article
Pages
51-52
Published: November 16, 1995
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We assessed ambulatory blood pressure monitoring (ABPM) by fuzzy measurements. Four items in ABPM were evaluated with fuzzy models. These items were 1) mean systolic blood pressure, 2) hyperbaric area (HBA), 3) maximal systolic blood pressure, 4) minimal systolic pressure. We proposed fuzzy models for a assessment of each item. We guessed weights among items by analytic hierarchy process (AHP). We analyzed various ABPM data using fuzzy measurements.
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Hiroshi Hirota, Seizaburo Arita, Yoshimi Hori, Satoshi Sakaguchi, Yosh ...
Article type: Article
Pages
53-54
Published: November 16, 1995
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Surgical site infection is a complication after operation. Particularly it is one of the most important problem in the gastrointestinal operation. To prevent surgical site infection, surgeons have used antibiotics. But the selection of antibiotics and how to dose have depended only their experiences without the criterion. In this paper, we proposed a computer supporting system for detecting surgical site infection, employing the fuzzy inference based on the data of differential counts of white blood cells.
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Akihiro HAYASHI, Ichiro MASUI, Hisao TANAKA, Takeshi HONDA
Article type: Article
Pages
55-56
Published: November 16, 1995
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The goals of orthognathic surgery are to improve function and facial esthetics. Comprehensive surgical planning therefore involves a prediction of facial change resulting from the surgery which may be desirable or undesirable. A prediction of profile is currently conducted on a lateral cephalometric radiogram using hard to soft tissue ratios or linear regression formulas. The nasolabial region, the central esthetic unit of the face, is significantly altered by maxillary surgery, and accurate prediction is difficult by those methods. We are developing a profile prediction expert system using fuzzy inference.
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Satoru Sakaguchi, Seizaburo Arita, Hiroshi Tanimura, Yoshio Maniwa
Article type: Article
Pages
57-58
Published: November 16, 1995
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Surgical site infection is an important factor to have influence on prognosis of the patient. It is necessary to diagnose early it and to select appropriate antimicrobial agents as therapeutic use. In this study, for the purpose of composing diagnostic fuzzy system of surgical site infection, we statistically analyzed various factors which led to surgical site infection. Furthermore, we compaired of diagnosis of fuzzy system and surgeons.
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Teruyuki Hojo
Article type: Article
Pages
59-60
Published: November 16, 1995
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Facial expressions were examined by a fuzzy theory. Human face consists of four anatomical parts : orbital, nasal, oral and auricular. Membership functions were applied to analyze the features of tightening and loosening of facial muscles. In human the muscles of the auricular region are functionally weak.
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Hideyasu Hirano, Takeshi Hirano, Masahiro Nakano, Seizaburo Arita, Mas ...
Article type: Article
Pages
61-62
Published: November 16, 1995
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Incurable diseases such as liver fibrosis is the major targets of fuzzy set chaos theory for controlling pathological histology. For the first step, the vitamins would be prescribed to regulate extracellular matrix gene expressions. The concentration of serum vitamins complicated by daily sports and food eaten, therefor the fuzzy set vitamin levels will regulate actual gene expressions. Repeating process of cycling once in a 7 days intervals with serially medicated, serum vitamin levels depict chaos rounding irregularly in short duration but with a regularity it set cycling concentration of vitamin levels in a half year duration.
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Article type: Appendix
Pages
63-
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Article type: Appendix
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63-
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Article type: Appendix
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64-
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Article type: Appendix
Pages
64-
Published: November 16, 1995
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Article type: Appendix
Pages
64-
Published: November 16, 1995
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