Satoru Fukami | Osaka Institute of Technology (original) (raw)

Papers by Satoru Fukami

Proceedings of the Fuzzy System Symposium, 2005

IPSJ SIG Notes, Mar 23, 2006

ADVANCES IN FUZZY SET THEORY AND APPLICATIONS M.M. Gupta, R.K. Ragade, R.R. Yager (Editors), North-Holland Publishing Company 1979, 1979

L.A. Zadeh and E.H. Mamdani proposed the methods for fuzzy reasoning in which the antecedent invo... more L.A. Zadeh and E.H. Mamdani proposed the methods for fuzzy reasoning in which the antecedent involves a fuzzy conditional proposition "If x is A then y is-B" with A and B being fuzzy concepts.
This paper points out that the consequences inferred by their methods do not always fit our intuitions, and suggests some new methods which fit our intuitions under several criteria such as modus ponens and modus tollens .

Ant 1*: Ant 2': xe X - x' ex -> Pr(x is Б) = f(q) Cons' : Pr(x' is E) = f(... more Ant 1*: Ant 2': xe X - x' ex -> Pr(x is Б) = f(q) Cons' : Pr(x' is E) = f(q) (12) Table II Relations between A' and p' Based on this discussion we shall consider the following form of a slightly complicate inference which includes fuzzy quantifier "most", and fuzzy attributes "tall" and "more or ...

Applied Research in Fuzzy Technology, 1994

ABSTRACT

Journal of Japan Society for Fuzzy Theory and Systems, 1991

Expert Systems with Applications, 1992

Journal of the Robotics Society of Japan, 1991

In the real world, there exist a lot of fuzzy data which cannot or need not be precisely defined.... more In the real world, there exist a lot of fuzzy data which cannot or need not be precisely defined. We distinguish two types of fuzziness: one in an attribute value itself and the other in an association of them. For such fuzzy data, we propose a possibility-distribution-fuzzy-relational model, in which fuzzy data are represented by fuzzy relations whose grades of membership and attribute values are possibility distributions. In this model, the former fuzziness is represented by a possibility distribution and the latter by a grade of membership. Relational algebra for the ordinary relational database as defined by Codd includes the traditional set operations and the special relational operations. These operations are classified into the primitive operations, namely, union, difference, extended Cartesian product, selection and projection, and the additional operations, namely, intersection, join, and division. We define the relational algebra for the possibility-distribution-fuzzy-relational model of fuzzy databases.

Journal of Japan Society for Fuzzy Theory and Systems

Microprocessing and Microprogramming, 1988

There have been various multifunctional workstations developed for office workers and engineers. ... more There have been various multifunctional workstations developed for office workers and engineers. Most of them can display multi-windows to provide dowing functions in sophisticated user operations. The purpose of this creating and erasing o study is to propose a new hardware architecture for size and location of the display control unit (DCU) that can provide fas- is that this addition

Fuzzy Sets and Systems, 1980

Fuzzy Sets and Systems 4 (1980) 243273 NorthHolland Publishing Company SOME CONSIDERATIONS ON FUZ... more Fuzzy Sets and Systems 4 (1980) 243273 NorthHolland Publishing Company SOME CONSIDERATIONS ON FUZZY CONDITIONAL INFERENCE Satoru FUKAMI Yokosuka Electrical Communication Laboratory, Nippon Telegraph and Telephone Public Corporation, Yokosuka, Kanagawa ...

L.A. Zadeh and E.H. Mamdani have proposed methods for a fuzzy reasoning in which the antecedent i... more L.A. Zadeh and E.H. Mamdani have proposed methods for a fuzzy reasoning in which the antecedent involves a fuzzy conditional proposition "If x is A then y is B", with A and B being fuzzy concepts. This paper points out that the consequences inferred by their methods do not always fit our intuitions, and suggests several new methods which fit our intuitions under several criteria such as modus ponens and modus tollens.