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[in Japanese]
Article type: Article
1991 Volume 3 Issue 1 Pages
1-
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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Motohide UMANO, Satoru FUKAMI
Article type: Article
1991 Volume 3 Issue 1 Pages
2-14
Published: February 15, 1991
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Sadaaki MIYAMOTO, Teruhisa MIYAKE
Article type: Article
1991 Volume 3 Issue 1 Pages
15-26
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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Toshiyuki KITAMORI
Article type: Article
1991 Volume 3 Issue 1 Pages
27-34
Published: February 15, 1991
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Nobuyuki NAKAJIMA
Article type: Article
1991 Volume 3 Issue 1 Pages
35-40
Published: February 15, 1991
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Michio SUGENO
Article type: Article
1991 Volume 3 Issue 1 Pages
41-42
Published: February 15, 1991
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Kitahiro KANEDA, Hideo HOMMA
Article type: Article
1991 Volume 3 Issue 1 Pages
43-47
Published: February 15, 1991
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Masaaki KOWADA, Kouzou HIYOSHI
Article type: Article
1991 Volume 3 Issue 1 Pages
48-50
Published: February 15, 1991
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Masaaki NAKAYAMA, Hirosi AKAHORI
Article type: Article
1991 Volume 3 Issue 1 Pages
51-55
Published: February 15, 1991
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Shuji ABE, Seiji YAMAGUCHI
Article type: Article
1991 Volume 3 Issue 1 Pages
56-58
Published: February 15, 1991
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[in Japanese]
Article type: Bibliography
1991 Volume 3 Issue 1 Pages
59-66
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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[in Japanese]
Article type: Bibliography
1991 Volume 3 Issue 1 Pages
67-69
Published: February 15, 1991
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1991 Volume 3 Issue 1 Pages
70-72
Published: February 15, 1991
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1991 Volume 3 Issue 1 Pages
73-77
Published: 1991
Released on J-STAGE: September 19, 2017
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[in Japanese]
Article type: Article
1991 Volume 3 Issue 1 Pages
78-79
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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[in Japanese]
Article type: Article
1991 Volume 3 Issue 1 Pages
79-80
Published: February 15, 1991
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[in Japanese]
Article type: Article
1991 Volume 3 Issue 1 Pages
80-81
Published: February 15, 1991
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[in Japanese]
1991 Volume 3 Issue 1 Pages
82-
Published: February 15, 1991
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JOURNAL
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[in Japanese]
1991 Volume 3 Issue 1 Pages
82-
Published: 1991
Released on J-STAGE: September 19, 2017
JOURNAL
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[in Japanese]
1991 Volume 3 Issue 1 Pages
83-
Published: 1991
Released on J-STAGE: September 19, 2017
JOURNAL
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[in Japanese]
1991 Volume 3 Issue 1 Pages
83-
Published: 1991
Released on J-STAGE: September 19, 2017
JOURNAL
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[in Japanese]
Article type: Article
1991 Volume 3 Issue 1 Pages
84-
Published: February 15, 1991
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[in Japanese], [in Japanese]
Article type: Article
1991 Volume 3 Issue 1 Pages
85-
Published: February 15, 1991
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Issei FUJISHIRO, Yasuto SHIRAI, Yasuhiko IKEBE, Tosiyasu L.KUNII
Article type: Article
1991 Volume 3 Issue 1 Pages
86-97
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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Active research and development efforts have been undertaken in the field of fuzzy database systems(FDBS), database systems based on the fuzzy set theory, with the goal of managing and processing a large amount of fuzzy information. A central theme of the FDBS research is to manage individualized fuzzy data, as well as objective shared data, in an integrated manner, and to process subjective queries on those data. This paper proposes a method to manage individualized data on fuzzy attributes that assume possibility distributions as their values. First, we develop an effective schema representation of such fuzzy attributes based on the Extended Graph Data Model, a graph-oriented, pseudo-semantic data model. Then, we describe the basic architecture and the query processing procedure of an FDBS that manages the data on fuzzy attributes acquired from multiple users and realizes the subjective fuzzy occurrence views which handle users' individualized fuzzy occurrences. A sample database on people's age is used to demonstrate how the handling of individualized possibility distribution results in different answers to an identical query on the same schema.
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Sadaaki MIYAMOTO, Nobuaki KONISHI, Teruhisa MIYAKE
Article type: Article
1991 Volume 3 Issue 1 Pages
98-107
Published: February 15, 1991
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The aim of the present paper is to propose fuzzy propositional index and retrieval for documents or images. A set of fuzzy propositions represents content of a document or an image. A query of the same form of fuzzy propositions is matched with fuzzy propositional indices for a set of documents or images using a matching function, whereby the matching degree is interpreted as the membership value in the retrieved set. Three algorithms are derived for a matching function which is based on a fuzzy set model, and their efficiency is estimated. Illustrative examples for document retrieval and image retrieval are given.
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Hiroshi MAEDA, Yasuhiro ISHITOBI
Article type: Article
1991 Volume 3 Issue 1 Pages
108-119
Published: February 15, 1991
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This paper copes with fuzzy database retrieval by natural language query with fuzzy expressions. The authors propose some simple methods to extract effective informations for database retrieval from the natural language (Japanese language) query. Those are mainly composed of Hirakana-retrieval dictionary, optimization model by 0-1 integer programming, and some additional dictionaries. The Hirakana-retrieval dictionary generates several interpretations of the query, and then the optimaization model determines an unique interpretation of the query.
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Masatoshi SAKAWA, Hitoshi YANO
Article type: Article
1991 Volume 3 Issue 1 Pages
120-132
Published: February 15, 1991
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In this paper, we focus on multiobjective linear fractional programming problems with fuzzy parameters and introduce a new solution concept by assuming that the decision maker may have fuzzy goals for each of the objective functions with fuzzy parameters. In order to cope with two types of the fuzziness, which is involved in the fuzzy parameters and the fuzzy goals, by using two indices based on possibility and necessity concepts, two types of the satisficing levels are introduced. Then, the multiobjective linear fractional programming problems with fuzzy parameters are reduced to the usual multiobjective programming problem, where the satisficing levels for each of the objective functions are maximized. For this multiobjective programming problem, the new solution concept, called I-α-Pareto optimal solution is defined, and an interactive decision making method to derive the satisfying solution of the decision maker from among the I-α-Pareto optimal solution set are proposed on the basis of linear programming.
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Hideyuki TAKAGI, Toshiyuki KOUDA, Yoshihiro KOJIMA
Article type: Article
1991 Volume 3 Issue 1 Pages
133-141
Published: February 15, 1991
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We propose Neural-networks designed on Approximate Reasoning Architecture (NARA), and show that it becomes easy to debug network in terms of the rule structure and to improve the performance. It is important to implement the knowledge into artificial neural network (NN) for improving its performance. Most conventional knowledge implementations had very few possibility of help using relatively high level knowledge structure. They were mainly concentrated to statistical analysis of input data or prewiring. NARA is constructed by approximate reasoning as framework and by NNs as component. Because of the high level knowledge structure (approximate reasoning architecture), NARA has many advantages. The most advantageous point of NARA is to be able to reconstruct the structure or component NNs easily to improve its performance. NARA is constructed by small NNs that correspond to approximate reasoning rules -- this enable us to analyze the relationship between NN structure and its performance, and can modify the small NNs or NN structure related to the performance. The second point is to shorten the learning time of NN. We show the algorithm for model construction and evaluation by simulation.
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Article type: Bibliography
1991 Volume 3 Issue 1 Pages
142-145
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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1991 Volume 3 Issue 1 Pages
146-
Published: February 15, 1991
Released on J-STAGE: September 19, 2017
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