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Parameters / -loglevel:option Explanation Displays help for Dsastat, along with the default options and parameter values. Specifies the extent of logging that is performed during execution. Valid option values are INFO, TRACE, and DEBUG. The default option is INFO. Specifies where the results of Dsastat are displayed. Valid options are SCREEN, FILE, or BOTH. If FILE is selected the output is saved to a file named Dsastat.log.nnnnn. The default option is SCREEN.

kabir@domaincom,Mohammed J Kabir,12345,no carol@domaincom,Carol Godsave,95833,yes joegunchy007@aolcom,Joe Gunchy,07024,yes jennygunchy007@aolcom,Jennifer Gunchy,07024,no

where Q is the quanti er for fuzzy set A relative to fuzzy set D and is the degree of neighborhood of the two extreme quanti ers.

As you can see in the previous section, the formwizardpl script, which uses the formwizardini configuration file, is very configurable and enables you to manage many single-page Web forms by using a single script and a single central configuration file To manage new Web forms, simply copy the configuration file for registerhtml and create a new section in the formwizardini file Here are the steps you need to take to manage a Web form called feedbackhtml by using this script 1 Create a new section called [feedbackhtml] in the formwizardini file as follows:

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Explanation Specifies the name of an initialization file to use for parameters if user does not specify the parameters on the command line. Specifies the names of the servers on which the comparison will be performed. If the port number is :3268, the comparison will be performed against the global catalog of that server. The default port number is the default LDAP port (389). Specifies whether to perform a statistics comparison or a full-content comparison. Valid option values are TRUE (perform a statistical comparison) or FALSE (perform a full-content comparison). The default option is TRUE. Determines whether the search operations are performed with sorting based on object GUID. Valid option values are TRUE (perform sorted queries) or FALSE (do not perform sorted queries). The default value is FALSE. Sets page size for ldap_search operation. The valid range for entrynumber is from 1 to 999. The default value is 64. The number indicates the number of entries to be returned per page. Sets the distinguished name of the base search path. This allows Dsastat to perform the comparison against any subtree of the directory. Sets LDAP filter used in the LDAP search operation. The filter must conform to LDAP search syntax as specified in RFC 2254. The default filter is (objectclass=*). Specifies attributes to be returned from search. This option is used only if the comparison option -t is set to FALSE. Valid option values are any LDAP attribute, objectclass when no attributes are requested, auto if only those attributes that are replicated to the Global Catalog are requested, and all when you want all attributes contained in an object to be retrieved.

thankyou_template = thankshtml send_data_on_redirect = no form_field_info=<<FORM_FIELDS # # insert field info here # FORM_FIELDS data_error_msg = Please enter missing data and resubmit data_directory=/feedback/data/directory data_filename=feedbackcsv data_field_separator=, data_field_order=comma separated field list goes here

One signi cant problem that has faced crisp tree induction is how to effectively handle continuous features. A standard approach that aims to address this is the C4.5 tree construction algorithm [281], which considers intervals of values during its construction. However, some interpretability of the tree is lost as the intervals, although useful for classi cation purposes, may not have any direct physical relevance or meaning to the problem at hand. Fuzzy decision trees (FDTs) are able to handle continuous features through the use of fuzzy sets. Unlike crisp decision tree induction, FDTs do not use the original numerical feature values directly in the tree. They instead use fuzzy sets generated either from a fuzzi cation process beforehand or expert-de ned partitions to construct comprehensible trees. As a result there are several key differences between FDT induction and the original crisp approaches:

Make necessary changes by looking at the [registerhtml] section 2 Change the feedback form s action line to

-s:servername[portnumber] [;servername[portnumber];...]

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