Dear Prof. Zadeh:

Thank  you for your continuing guidance and support. From the attached
Springer message, I'm very pleased to report to you that
our journal of Fuzzy Optimization and Decision Making is now
accepted by ISI.

Without the collaborative efforts
of the editorial board members,
reviewers, publishers, researchers and readers in the field, we won't make
it here.
In particular, FODM truly appreciates your support
and count for your guidance for future directions.

Best regards,

Shu-Cherng Fang
Editor-in-Chief of FODM
ISE Department
North Carolina State University



==================================================================
> Dear Shu-Cherng:
>
>
>
> It is with great pleasure that I inform you that ISI has accepted the
> journal.  We just got the news late yesterday, and still don't know the
> effective date, but I'll get you more information asap.  In the
> meantime, CONGRATULATIONS!  This is a big step indeed.
>
>
>
> Will I be seeing you at INFORMS in October?  Perhaps we could celebrate
> then!
>
>
>
> With best regards,
>
> Neil
>
> PS: Please do share this news with Henry and any other members of your
> board!
>
>
>
> Neil Levine
>
> Editor, Operations Research & Management
>
> Springer
>
> 233 Spring Street   New York, NY  10013
>
> Ph. 212-460-1726   Fax 212-460-1577
>
> [EMAIL PROTECTED]
>
> www.springer.com
>
> Internal Extension: 726
>
>
>
>
==================================================================


> Dear Konrad,
>
>     Just a quick point. The following simple problem goes a long way
> toward clarifying the distinction between probability and possibility.
> The problem is a simpler version of one of the problems in my original
> message.
>
>     X is a real-valued variable. The value of X is uncertain. The
> available information about X is: X is much larger than approximately a.
> What is the probability that X is smaller than approximately b? a and b
> are real numbers. How would you answer this question using probability
> theory?
>
>     With cordial regards,
>
>        Sincerely,
>
>           Lotfi
>
> Konrad Scheffler wrote:
>> Dear Prof Zadeh,
>>
>>
>>> Basically, my view is that uncertainty has many facets which are
>>> non-probabilistic in nature.
>>>
>>
>> My question was what you understand under the term "probabilistic" in
>> sentences like this one.
>>
>>
>>>    To illustrate my point, how would you represent the meaning of the
>>> following. (a) X is a real-valued variable. What is known about X is
>>> that X is
>>> much larger than approximately a. (b) X is a real-valued variable. What
>>> is
>>> known about X is that X is much larger than approximately a and is much
>>> smaller than approximately b, with a less than b.
>>>
>>
>> The statements are, of course, ambiguous (that is, it is incorrect to
>> refer to "the meaning" of such statements). Probability theory offers a
>> natural way to disambiguate statements such as these, by specifying
>> probability density functions with which phrases like "approximately a"
>> can be replaced. The choice of functions depends very much on the
>> application, and in particular on whether we are interested in
>> reconstructing what the author of the statement originally intended to
>> communicate, or whether we are interested in predicting how a third
>> party
>> will interpret the statement.
>>
>> There is also an issue with the use of the word "known" in "what is
>> known
>> about X". I would argue that, until we associate the statement with a
>> clear (unelastic) meaning we cannot claim to "know" that it is true. The
>> "knowledge" must have some source, e.g. we may know that the statement
>> is
>> a claim that was made by a trusted source (in which case we might aim to
>> discover what was meant by the statement, or reason while taking the
>> uncertainty of the intended meaning into account).
>>
>> Kind regards,
>> Konrad Scheffler
>>
>
> --
> Lotfi A. Zadeh
> Professor in the Graduate School
> Director, Berkeley Initiative in Soft Computing (BISC)
>
> Address:
> 729 Soda Hall #1776
> Computer Science Division
> Department of Electrical Engineering and Computer Sciences
> University of California
> Berkeley, CA 94720-1776
> [EMAIL PROTECTED]
> Tel.(office): (510) 642-4959
> Fax (office): (510) 642-1712
> Tel.(home): (510) 526-2569
> Fax (home): (510) 526-2433
> URL: http://www.cs.berkeley.edu/~zadeh/
>
> BISC Homepage URLs
> URL: http://zadeh.cs.berkeley.edu/
> URL: http://www-bisc.cs.berkeley.edu/
>
>
>
>
>

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