Newsgroups: comp.ai.genetic
Path: cantaloupe.srv.cs.cmu.edu!rochester!udel!news.mathworks.com!news.alpha.net!uwm.edu!math.ohio-state.edu!howland.reston.ans.net!pipex!bnr.co.uk!bcarh8ac.bnr.ca!bcarh189.bnr.ca!nott!cunews!superior!mwtyrrel
From: mwtyrrel@ccs.carleton.ca (Marc W.D. Tyrrell)
Subject: Re: Classifier: Coding an environment represented by continuous variables
Message-ID: <D4B36o.C4H@cunews.carleton.ca>
Sender: news@cunews.carleton.ca (News Administrator)
Organization: Carleton University
X-Newsreader: TIN [version 1.2 PL2]
References: <3htr5t$6dm@newsbf02.news.aol.com>
Date: Mon, 20 Feb 1995 16:01:35 GMT
Lines: 34

StephynB (stephynb@aol.com) wrote:
: ....
: Intuitively, I realize that when we see a number "7.2" and it refers to
: unemployment, we assign it into the group "high unemployment." This would
: seem to suggest the use of a multivalued logic and sets. I am somewhat
: resistant to this track because it would seem that the membership
: functions would have change over time (remember when double digit
: inflation was high? now we think 4.0 percent will ruin the country) as a
: result of increased experience and changes in expectations.

: Any suggestions of how I might go about it? I need some help along the
: lines of a recipe -- most journal articles seem to skip the section on
: combining the ingredients. 

: Thank - you very much in advance.

: stephyn.butcher@interramp.com

Stephyn,

You might want to consider expectation as a variable based on previous
experience. If you are dealing with unemployment, you might want to
take a look at Vedder and Gallaway, "Out of Work", 1993, Holmes and
Meier Publishers, New York. They produce a series of equations for
predicting unemployment.

Marc Tyrrell

*** Restructure Reality... you never know what you will find! -) ***
----------------------------------------------------------------------
Carleton University

Email address: mwtyrrel@ccs.carleton.ca
----------------------------------------------------------------------
