Preview | 2009.06.09

The occupancy at my house will soon triple, but this weekend it might double (in which case next weekend it would only double). Now I can handle the simple stuff like installing a dog door and removing poisonous shrubbery, but I'm fairly perplexed on how to go about naming the pup. There are so many approaches so I thought I'd cover a few name schemes and what would be the resultant dog name.

Generic: Rover
Self-evident: Dog
Cute: Biscuit
Mythological: Argos
Gamer: Dogmeat
Thug: Snoop
Redneck: Trigger
Cultural: Wilhelm
Cultural-redneck: Aug
MSTie: Croooooow
Scrubs-ian: Rowdy
Orwellian: Jessie
Overloaded: Sebastian
Nihilist:
Delicious: Taco

We'll see how it goes. In other news The Heidi Report is gracing us all with her presence this weekend. Since there will be all kinds of people and events, I thought I'd dust off the old appearance probability algorithm. Or algorithms, we couldn't really decide on an accurate model, but such is the case when you ask the same question of a neurologist, an EE, and a software guy (walk into a bar...).


Chris	For extra credit, find out the P(W\|C), since he did not supply us with the probability. You'll also need to know that P(C) = 0.5 and P(W) = 0.3.
		P(W\|C) = 0.3	KO
		What did CS come up with? Since she is EE, she may have applied Maxwell's equations to solve this dinner conundrum. This is some ill J-Pod humor.
	I got 0.42, P(C\|W) * P(W) / P(C) = 0.7 * 0.3 / 0.5 = 0.42
		Yeah CS, let's see the Bode plot of the W/Chris transfer function.	Connie
		My attempt at pseudo-fuzzy interfacing...

CS continues...

Mamdani-type or sugeno-type of fuzzy logic operands shall we use? I don't think the output function is linear or constant, so that foregoes sugeno.
If prob(C) = 0.5 ; prob(W) = 0.3, then P(W|C) can be calculated by fuzzy logic's probabilistic OR.

a=newfis('w_chris_cacluator');
a.input(1).name='w';
a.input(1).range=[0 10];
a.input(1).mf(1).name='no_show';
a.input(1).mf(1).type='gaussmf';
a.input(1).mf(1).params=[1.5 0];
a.input(1).mf(2).name='maybe';
a.input(1).mf(2).type='gaussmf';
a.input(1).mf(2).params=[1.5 5];
a.input(1).mf(3).name='yes';
a.input(1).mf(3).type='gaussmf';
a.input(1).mf(3).params=[1.5 10];
a.input(2).name='chris';
a.input(2).range=[0 10];
a.input(2).mf(1).name='no_show';
a.input(2).mf(1).type='trapmf';
a.input(2).mf(1).params=[-2 0 1 3];
a.input(2).mf(2).name='maybe';
a.input(2).mf(2).type='trapmf';
a.input(2).mf(2).params=[7 9 10 12];
a.output(1).name='dinner';
a.output(1).range=[0 30];
a.output(1).mf(1).name='okay'
a.output(1).mf(1).type='trimf';
a.output(1).mf(1).params=[0 5 10];
a.output(1).mf(2).name='average';
a.output(1).mf(2).type='trimf';
a.output(1).mf(2).params=[10 15 20];
a.output(1).mf(3).name='fabulous';
a.output(1).mf(3).type='trimf';
a.output(1).mf(3).params=[20 25 30];
a.rule(1).antecedent=[1 1];
a.rule(1).consequent=[1];
a.rule(1).weight=1;
a.rule(1).connection=2;
a.rule(2).antecedent=[2 0];
a.rule(2).consequent=[2];
a.rule(2).weight=1;
a.rule(2).connection=1;
a.rule(3).antecedent=[3 2];
a.rule(3).consequent=[3];
a.rule(3).weight=1;
a.rule(3).connection=2

Boil down to... fuzzy probabilities of probor(C,W) = C+W-CW.

But what.. what is C and W membership function?

tags:

dog

Comments

Jumpkicktotheface

Since this canine seems inexorably doomed to exist in a nerdy atmosphere, might I suggest Intel, Ampere, or Mashpot as fitting names?

Single finger salute!

Name the dog Ayrielle?

Chris

Nonsense James, most times we hang out the collective iq plummets. It's a good thing cause we spend most our days creating genius works.

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No Properties/No Structure - But, Subject Identity « Another Word For It

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