[comp.research.japan] Fuzzy at OMRON Corp.

hagemann@tyo.gmd.dbp.de (Thomas Hagemann) (05/14/91)

To: Distribution
From: Thomas Hagemann, GMD Bureau Tokyo (hagemann@tyo.gmd.dbp.de)
Subject: Visit to OMRONs Fuzzy Business Promotion Center, Kyoto
Date: 25 March 1991
Updated: 9 May 1991

ABSTRACT.
On 5 March 1991 I visited the Central Research and Development 
Laboratory of OMRON Corporation in Kyoto to speak with members of the 
fuzzy project team. My hosts have been

     Kazuaki Urasaki
     Tadasu Maeda
     Fuzzy Technology Business Promotion Center
     Omron Corporation
     Shimokaiinji
     Nagaokakyo-shi
     Kyoto 617
     Tel: +81-75-951-5111
     Fax: +81-75-955-2442

It follows an overview of Omron Corp. and its fuzzy related activities, 
a table of fuzzy related patent applications in Japan, and a look into 
the special edition on "fuzzy" of the japanese popular science magazine 
"Quark". For different aspects of fuzzy in Japan see the reports of 
David K. Kahaners (24 August 1990), myself (27 December 1990) and George 
J. Klir (12 April 1991).

COMPANY OVERVIEW.
Omron Corporation, founded as Tatisi Electric Manufacturing Company in 
May 1933 by Kazuma Tateishi, has major business divisions for factory 
automation systems, control components, automotive electronic 
components, traffic control systems, electronic fund transfer systems, 
health and medical equipment, and office automation systems. The number 
of employees is about 14.000 including all subsidiaries, 10.000 of them 
in Japan. Other figures of Omron Corp. (excluding subsidiaries), found 
in the Spring/91-edition of a japanese handbook listing 2577 companies, 
published by Toyokeizai-Shinposha, are

paid-in capital       38.5 BYen     200 MECU (185 Yen = 1 ECU in 9/90)
sales                350.7 BYen    1900 MECU
profit                27.1 BYen     150 MECU
investment            11.4 BYen      60 MECU
major shareholders    Mitsubishi-, Sumitomo-, Taiyo-Kobe-Mitsui- Banks
employees             6957
average age           33.4 years
average salary       296.4 kYen    1600 ECU

The banks hold between 2.0 and 4.7 percent of the company's shares (5% 
being the legal upper limit of share holding by financial institutions 
according to paragraph 11 of the Anti-Monopoly Law), another 1.8% holds 
chairman Takao Tateishi of the founders' family.

The Central R&D Laboratory with its 800 employees is one of Omron's 
research facilities covering a wide range of technologies. Others are 
the Communication Systems Laboratory and the Systems Laboratory (R&D in 
computer systems) in Tokyo, the Life Science Laboratory in Kyoto (R&D in 
medical and health-care systems), and the Tsukuba R&D Laboratory. Omron 
has developed within and parallel to the SIGMA-project of MITI a UNIX-
workstation "LUNA".

FUZZY AT OMRON.
Although located in the Central R&D Lab, the Fuzzy Technology Business 
Promotion Center is not part of that, but it is directly under the 
management of the company president. It has one marketing and one R&D 
section, gives support to fuzzy researchers in various business 
divisions (there are more than 200 fuzzy researchers in Omron 
altogether) by developing hardware and software tools, and it does fuzzy 
R&D on its own, focussing mainly on development, since basic research of 
fuzzy theory is said to be done mostly at universities. For the 
researchers, who receive a three month training when entering the 
company, there are regular weekly in-house seminars, sometimes with 
lecturers from universities. At present, one researcher is sent to Osaka 
University to attend the two year mastercourse. In general, as in all 
other japanese companies, researchers often go to the factory, to the 
sales department and to customers bringing back new ideas for their own 
work.

Omron's major fuzzy products are used in factory and plant automation 
and automotive control. The video I was shown presented, among others, a 
temperature controller in a chemical plant, a vending machine selecting 
cans by colour, a camera following moving objects, and a conveyor belt, 
the speed of which was controlled such that boxes, coming randomly along 
the belt, passed a fixed check point in constant time intervals.

The scope of fuzzy products ranges from digital fuzzy chips, a hybrid 
controller (combining fuzzy and PID control), expansion boards for NEC-
PCs and IBM-PC/AT-compatibles (to be presented in April at Hannover 
Fair, Germany), various controllers and control boards, and a fuzzy 
human body sensor for detecting living objects in rooms, to software for 
simulation and study on NEC-PCs and the LUNA-workstation, and a fuzzy 
expert system for machine diagnosis. One of Omron's fuzzy devices, the 
FZ-1000, is built into the prototype heavy water reactor "Fugen", where 
it controls the water temperature in a tank. Under normal and stable 
conditions the temperature is controlled by a PID-device, but when the 
reactor starts firing or is shut down, PID-control is less suitable for 
the huge amount of information to be handled during these phases, 
therefore control is switched to fuzzy control under the monitoring of a 
human operator. It is claimed that this still limited system is only 
used in non-critical places. The Fugen reactor is operated in Fukui 
prefecture, central Japan, by the Power Reactor and Nuclear Fuel 
Development Corporation, a R&D-organization supervised by the Science 
and Technology Agency (STA).

A digital fuzzy chip was put on the market last October for use in 
automobiles and home electronics, and 100.000 of these chips are 
expected to be sold in the first year. In 1990, only 0.5% of the above 
listed sales figure of Omron will come from fuzzy products, but the 
sales plan for 1994 is 100 BYen. This means that Omron expects a lot 
from fuzzy technology in the future, and with respect to its importance 
and potential, it is compared with microprocessor technology a couple of 
years ago. Nevertheless it is thought that fuzzy technology cannot 
replace traditional methods everywhere, although it is often easier and 
cheaper to implement. For example, fuzzy control seemed to be superior 
when precision of up to 1% is sufficient, but hybrid fuzzy/PID-control 
is necessary for higher precision. Similarly, PID-control is better for 
tasks like keeping temperature on a constant level, whereas fuzzy 
control is better for reaching this level, because overshooting rarely 
happens.

HISTORY OF OMRON'S FUZZY COMMITMENT.
Whenever you visit a japanese company and get an introduction to its 
activities, you first will be presented the company philosophy and its 
vision for the future. The past might also be mentioned, but the focus 
lies on the future. Whether vision and philosophy are derived from the 
company's products and business strategies, or vice versa, is not as 
important as to have a philosophy at all, which is easy to understand 
for the management, the employees and the customers, like "For Beautiful 
Human Life" of a big cosmetics company. The aim of "Contributing to the 
World Through Batteries" of the battery manufacturing subsidiary of a 
huge electric company group makes sense when considering products like 
walkman, mobile phones or notebook PCs, although the explanation of this 
aim in a company brochure sounds somewhat far-fetched or even ridiculous 
to the left brained Westener: "Adressing the changing needs of industry 
and society, our focus is on the world. We are committed to opening 
doors to a richer future, for the prosperity of our global society, and 
the happiness of mankind through the creative use of battery power." On 
the other hand, referring just to "synergy" as the motif for the 
business activities, as big german companies like to do, might be 
intellectually satisfying, but the normal customer will have 
difficulties to find it on the shelves for sale.

Omron's philosophy fits perfectly into the company profile: "To the 
machine the work of machines, to man the thrill of further creation." 
Omron was always in search of technologies, which helped to free man 
from burdensome work, to make more human friendly machines and let 
machines act more according to human needs - not the other way round. 
Fuzzy technology was early recognized as a possible candidate of such a 
technology. For Omron, fuzzy is a paradigm to introduce human 
subjectivity into objective science, and a method to model and use human 
knowledge and senses as they are without complicating abstraction.

Back in 1966, Omron built an analog computer "DECIVAC" for decision 
making based on probabilistic methods, which could handle (in modern 
terminology) crisp membership functions and weighted inference rules; at 
that time, Omron was not aware of the very young fuzzy theory. With some 
proud I was told that this computer was even exported to West Germany.

In 1983, when the first fuzzy technology appeared in Japan (a control of 
a drinking water treatment plant by Fuji Electric, and the famous subway 
control by Hitachi), Takeshi Yamakawa of Kumamoto University visited 
Omron+s Tokyo office in search of financial support for his fuzzy IC, a 
hand made sample of which he had completed in October 1983. Omron saw 
the potential of this new technology, and in October 1984, Yamakawa came 
to Omron+s headoffice in Kyoto for a lecture, which was also attended by 
Kazumata Tateishi, the founder of Omron. He showed a deep interest in 
this new technology, and in that year, Omron started R&D on fuzzy expert 
systems. In 1986, fuzzy hardware was developed under the guidance of 
Yamakawa, and a medical diagnosis expert system.

1987, was the year of the beginning fuzzy boom in Japan. Omron built a 
fuzzy controller and a "fuzzy computer" (a fuzzy ALU). In 1988, this was 
marketed as the FZ-1000, and a special task force, the "F-Project" team 
was established within Omron. A prototype fuzzy chip designed by 
Yamakawa was manufactured (now the FZ-5000), and the hybrid (F+PID) 
temperature controller E5AF were developed. Omron took part in 
establishing the LIFE (Laboratory of International Fuzzy Engineering 
Research), attended the Fuzzy Committee of the STA, and received a grant 
of 600 MYen in a three year project to develop a fuzzy microprocessor 
from the JRDC (Japan Research and Development Corporation, another STA-
organization).

In 1989, 10 new fuzzy products were announced by Omron, and 60 fuzzy 
demonstrations appeared at the Omron Festival, an idea contest held 
regularly within Omron. Prof. Zadeh became senior advisor of Omron, and 
the F-Project team was transformed into the Fuzzy Technology Business 
Promotion Center, while the team leader was dispatched for two years as 
head of one of the three research laboratories of the LIFE in Yokohama.

In 1990, a fuzzy human body sensor, a fuzzy expert system for machine 
diagnosis (together with the machinery manufacturer Komatsu), a digital 
fuzzyJchip, a new tuning method for fuzzy control was established, and a 
fuzzy inference unit were developed, but this listing is not complete.

In April 1991, Omron will appear at the Hannover Industrial Fair in 
Germany to start its fuzzy control overseas.

FUZZY PATENTS.
Omron Corp. has filed applications of several hundred patents related to 
fuzzy technology, although presently only 171 of them are made public 
officially (patents are made public 18 months after application), and 
none of them are registered yet (this process can take more than five 
years). The following table of fuzzy related patents made public in 
Japan between 1987 and 1990, detailed according to applicant and 
technical content of patents, gives an impression of the current 
situation:


                          Total Om  Hi  To  Mi  FF  Ma  Ni  FE  other

Total                      319 107  35  34  30  15  14  12  10  62

Control Furnace              4           1                       3
Applic. Process              4       3   1                       0
        Elevator            13       3   7   3                   0
        Aircondition         4       1       1       1   1       0
        Robot                4           2   1                   1
        Tunnel drilling      1                                   1
        Home Electronics     5   2                   3           0
        Automotive          41   9   1   2   5          11      13
        Grinding, Treatment  3   2           1                   0
        Electric Power       3       1   1   1                   0
        Measurement         18   1              15               2
        El. music instr.     6                                   6
        others              21   9   1   9           1           1

Other   Recognition         10   7   1       1                   1
Applic. Detection, Verific.  7   4   1                           2
        Diagnose, Supervis.  7   2   1       1               1   2
        Inference, Predict. 11       9               1           1
        Retrieval            4               1       1           2
        Picture Processing   2   2                               0
        Support, MMI         4   1   3                           0
        others              11   8                   1           2

Method, Fuzzy Reasoning     40  11   5   4   5       2       6   7
Struct. Fuzzy Control       28   5   4   6           1       3   9
        Computer Controller 12  12                               0
        Auto-tuning         10               8       2           0
        Rules                8   7   1                           0
        Membership Function 28  20           1                   7
        Fuzzy Calculation    4   1       1   1                   1
        Defuzzification      4   3                               1
        others               2   1                   1           0

                          Total Om  Hi  To  Mi  FF  Ma  Ni  FE  other

Om=Omron, Hi=Hitachi, To=Toshiba, Mi=Mitsubishi Electric, FF=Fuji Film,
Ma=Matsushita Electric, Ni=Nissan Auto, FE=Fuji Electric,
other=applicants with less than 10 patent applications

FUZZY EDITION OF THE SCIENCE MAGAZINE "QUARK", MARCH 1991.
On the 160 minutes shinkansen bullet train ride from Tokyo to Kyoto I 
had a look at the special edition on fuzzy technology of the magazine 
"Quark", which was also mentioned in David K. Kahaners short notice (15 
February 1991) on the International Congress of Biomedical Fuzzy Systems 
in February 1991 and in George J. Klirs report.

QUARK calls itself a "visual science magazine, revealing science for 
pleasant life" and has a circulation of 120.000 copies per month. The 20 
page special feature, titled "Becoming definitely strong at fuzzy", 
rides heavily on the present japanese media+s fuzzy fad, epitomized in 
the first of its four parts: a dialogue on "Who is fuzzy+s `mother of 
invention`?" Such dialogues or round table talks are a necessary part of 
any special feature on any theme in any japanese magazine, where 
specialists and so-called commentators (hyoronka) talk freely about 
anything considered relevant, leaving conclusions to the reader. This 
dialogue was between Prof. Takeshi Yamakawa (45), the father of the 
dedicated fuzzy chips, and Kazuhiko Kimura (32), a "best-selling trend 
watcher" and columnist of several magazines and TV-programmes. They 
talked around the reason of the high acceptance of fuzzy theory in Japan 
and the post-fuzzy era. While Yamakawa tried to guarantee a certain 
level of quality during the dialogue, Kimura gave a glimpse into the 
shallowness of pop-science by arguing, for example, that automating 
daily necessities like cooking by fuzzy rules and devices, would change 
mankind considerably: "man+s secret reason for marriage has been to have 
his wife do the cooking and household work, and hence fuzzy makes 
marriage unnecessary (haha)".

The reason of the high acceptance of fuzzy in Japan was believed to be 
its "eastern" background: oriental vagueness vs. occidental exactness. 
While eastern and western people would *think* in their brains 
similarly, the way of *expressing* their thoughts were different: 
westerners would just express themselves straightly and rationally, but 
easterners would also take into account the point of view and situation 
of their listeners, thus prefering often vague expressions. The ancestor 
of fuzzy theory, Lotfi Zadeh, is an Iranian (like his wife, who was born 
in Japan and lived here until the age of 3) and used his eastern 
experience when he tried to solve control problems that were intractable 
by exact methods.

Part two of the special feature consisted of test reports of three fuzzy 
consumer products: a video camera by Matsushita (NV-SI, 165000 Yen), a 
washing machine by Toshiba (AW-50VF2, 95000 Yen) and a vacuum cleaner by 
Hitachi (CV-AX760D, 55000 Yen); and a short description of 20 other home 
electronics products.

Part three described five examples of "Automatic Control of Master 
Skills": sake destillation (Gekkeikan), stock investment (Yamaichi 
Securities), teeth correction (Matsumoto Dental University), subway 
control (Sendai City) and prediction of "udon" noodle soup or "tofu" 
bean curd sales in dependance of weather conditions (Japan Weather 
Association).

Part four was a question & answer section.
Q1: How can fuzzy theory express vagueness scientifically?
Q2: What are membership functions?
Q3: How are membership functions constructed?
Q4: Where does fuzzy inferencing differ from conventional?
Q5: Why is fuzzy control suddenly used in home electronic products?
Q6: Are special integrated circuits necessary for fuzzy control?
Q7: Occur false conclusions at the end of a chain of vague inferencing?
Q8: How would a fuzzy computer look like?
Q9: What can happen, when fuzzy control malfunctions?
Q10: Where do fuzzy computers differ from neuro computers?

While most questions were dealt with in earlier reports (dkk, gjk, thg), 
the answer to Q6 lists four different kinds of fuzzy IC+s presently in 
use: general purpose microprocessors, which are programmed for fuzzy 
inferencing (used also for fuzzy simulation, advantage of easy program 
changes); analog circuits like in Yamakawa+s chip, where the values of 
membership functions are represented by electric current or voltage 
(advantage of high speed); digital circuits like Masaki Togai+s (AT&T) 
chip, where values of membership functions are transformed into binary 
digits; look-up tables, where all results of fuzzy inferences are stored 
beforehand and just retrieved according to input values (advantage of 
high speed and low cost, often used in home electronic products).

The last part ended with a list of ten books on fuzzy theory, authored 
by well known insiders (Mukaidono, Sugeno, Terano, Yamakawa), published 
by first rank companies (Iwanami Shoten, Kodansha, Nikkan Kogyo 
Shinbunsha). The bestseller among them is "Recommending ambiguous 
Engineering" by T. Terano of December 1981, now in its 16th printing;of 
the 80000 printed copies, 75530 have been sold, for a price of 620 Yen. 
The others have been published between August 1988 and November 
1990,printed in copies between 2500 and 50000, with price tags between 
1100 and 1450 Yen.

CONCLUSION.
Fuzzy technology is widely used in japanese products, is believed to 
have an enormous future potential, is well known to the ordinary 
educated Japanese, and might be an example of a technology invented and 
successfully implemented in the East. (Please post comments on that into 
soc.culture.japan or mail them directly to me since I only have a 
restricted access to the usenet.)
-- 
Thomas Hagemann     hagemann@tyo.gmd.dbp.de    ++81-3-3586-7104
German National Research Center for Computer Science (GMD)
German Cultural Center, Akasaka 7-5-56, Minato-ku, Japan 107