Fuzzy schemes

Eugene Kuchynski — Fri, 23 Apr 2021 08:16:49 GMT

Current Revision posted to Wiki by Eugene Kuchynski on 4/23/2021 8:16:49 AM

Fuzzy schemes table allows to create different sets of fuzzy weights. This will be useful when different clients use different fuzzy discounts.

For example, one client may count 50-74% fuzzy as no match (100% of price), while others may use decreased prices for such fuzzies.

When fuzzy type set is created, you provide all fuzzy types and their weights:

Add all necessary fuzzy types to the details table. First column, Sort order, is not editable and displays sort value for the selected fuzzy type.

You may have any number of such sets, and apply them to different clients. But at least there must be one default set, which is selected in the application settings and used by default in all jobs.

Tags: fuzzy schemes, reference data

Fuzzy types schemes

Eugene Kuchynski — Fri, 12 Jul 2019 13:59:08 GMT

Revision 1 posted to Wiki by Eugene Kuchynski on 7/12/2019 1:59:08 PM

Fuzzy schemes table allows to create different sets of fuzzy weights. This will be useful when different clients use different fuzzy discounts.

For example, one client may count 50-74% fuzzy as no match (100% of price), while others may use decreased prices for such fuzzies.

When fuzzy type set is created, you provide all fuzzy types and their weights:

Add all necessary fuzzy types to the details table. First column, Sort order, is not editable and displays sort value for the selected fuzzy type.

You may have any number of such sets, and apply them to different clients. But at least there must be one default set, which is selected in the program Settings and used by default in all jobs.

Above the table is a special button to print discounts table.

Tags: fuzzy schemes, reference data