I have information about two sets of domains (known to be of a certain category, and suspected to be of that category). Each of the suspected ones has its information compared to the known ones. I'm checking registrant and administrative contact details: company name, contact name, address, phone number, and email.

If XYZ.com's registrant's address is the same as ABC.com's registrant's address, then $match{ABC}{XYZ}{address} |= 1. If XYZ's admin's address is the same as ABC.com's admin's address, then $match{ABC}{XYZ}{address} |= 2. So on and so forth. Thus, I have a hash that looks like: 

%match = (
  'ABC.com' => {
    'XYZ.com' => {
      company => 1,  # reg. only
      contact => 0,  # no match
      address => 3,  # reg. and admin.
      phone => 2,    # admin. only
      email => 2,    # admin. only
    },
    ...,
  },
  ...
);

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I want to come up with a logical metric that will allow me to sort through ABC.com's suspected linked domains in order of most likely connection to least likely. I don't want to sort merely by the number of non-zero shared info, but I don't want to multiply, and I'm not sure adding makes sense either. I'm not sure weighting comes into play; the fields have all been error checked, so there's no (truly) bogus data in them. (Some bogus data is there, but it's uniform, which is a good thing. Nevermind.)

Can someone enlighten me?

Jeff japhy Pinyan, P.L., P.M., P.O.D, X.S.: Perl, regex, and perl hacker
How can we ever be the sold short or the cheated, we who for every service have long ago been overpaid? ~~ Meister Eckhart

In reply to Metric for confidence of complex match by japhy

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