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mance may become the principal differentiation factor in the electronic support business of the future. It would clearly be sensible to treat them well, to avoid expensive re-training costs, in the event of them handing in notice. Furniture, air-conditioning and lighting should be appropriate to the task. Training and team building may also become increasingly important. One advantage of modern, programmable call-centre equipment is that it can be con gured to run with dummy traf c or with selected, simpler query handling tasks, and temporary teams can easily be constructed and trained to work together.

If 0:6 CFk < 0:8, it is likely to belong to class Ck , and there is second choice 3 If 0:4 CFk < 0:6, it is more or less likely to belong to class Ck , and there is second choice 4 If 0:1 CFk < 0:4, it is not unlikely to belong to class Ck , and there is no second choice 5 If CFk < 0:1, it is unable to recognize class Ck , and there is no second choice In the case of a single choice (when rule 1 res), we update the con dence factor to 1, so that CF1 1 and CF2 0 For other choices (when rules 2 to 4 are in effect), we additionally compute CF2, corresponding to the class with the secondhighest membership value Finally, an aggregation is made at the node level Let us now describe the algorithm in detail.

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Step 1 Calculate an initial value of the fuzziness measure (FM) using equation (336) Step 2 Select a feature to serve as the root node of the decision tree (a) For each attribute Attri ; i 1; 2; ; 3n, partition the original population into two subpartitions according to the values aij (where j 0 or 1 and denotes the attribute value 0 or 1) of the attribute Attri Although there are nij patterns associated with traveling down branch aij , these patterns need not necessarily belong to any single class (b) Evaluate FM for each branch (c) The decrease in FM, as a result of testing attribute Attri , is FM i FM i FM i; Attri ..

6.11 EXERCISES 1. Let d be a ultrametric and let S(x, y) be the set of all non-null sequences s = (s1 , . . . , sn ) Seq(S) such that s1 = x and sn = y. If d is a ultrametric prove that d(x, y) min{ampd (s)|s S(x, y)} (Exercise 1). 2. Let S be a set, be a partition of S, and let a, b be two numbers such that a < b. Prove that the mapping d : S 2 R 0 given by d(x, x) = 0 for x S, d(x, y) = a if x = y and {x, y} B for some block B of and d(x, y) = b, otherwise is an ultrametric on S. 3. Prove the following extension of the statement from Exercise 2. Let S be a set, 0 < 1 < < k 1 be a chain of partitions on S, and let a0 < a1 . . . < ak 1 < ak be a chain of positive reals. Prove that the mapping d : S 2 R 0 given by 0 a0 if x = y if x = y and x 0 y . . . . . . if x k 2 y and x k 1 y

Besides displaying basic information about the user (login, name, home directory, shell, and so on), the finger command will also display any information stored in special files in the user s home directory. For example, the contents of the user s ~/.plan and ~/.project files, if those files exist, are displayed at the end of the finger output. With a one-line .project file and multi-line .plan file, output could appear as follows:

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Inflation can cause lots of problems, so in order for the government to keep inflation under control, it needs a way to measure inflation accurately As we explain in the earlier section Buying an Inflation: The Risks of Too Much Money , the value of money is determined by the interaction of the supply of money with the demand for money The supply of money is under the government s control, but the government can t directly ascertain the demand for money, so it has to look at how supply and demand interact in order to determine how much to increase or decrease the money supply: If an inflation is in effect, the government knows that the supply of money is increasing faster than the demand for money If it wants to tame the inflation, it needs to reduce the supply of money.

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