Reciprocal data file publishing and matching system
View Patent ↗A method of reciprocally publishing and matching data files by facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.
1. A method of reciprocally publishing and matching data files, the method comprising the steps of:
storing, using a processor or microprocessor coupled to a computer memory, a Category A data file having a set of characteristics corresponding to a Category A item;
storing, using said processor or microprocessor, a Category B data file having a set of characteristics corresponding to a Category B item;
obtaining a set of fit value rules that assign fit values as functions of differences between a desired value and an actual value;
generating a fuzzy logic formulation from a combination of the set of fit value rules;
assigning automatically, using the fuzzy logic formulation, a fit value between corresponding characteristics in the Category A data file and the Category B data file based on a size of the desired value and the sign or magnitude of the result of subtracting the desired value from the actual value;
evaluating, using the fuzzy logic formulation, the degree of fit of the Category B data file with the Category A data file by comparing a plurality of the Category B characteristics to respective Category A characteristics, and determining the degree of fit of each of the plurality of Category B characteristics to a respective Category A characteristic; and
evaluating, using the fuzzy logic formulation, the degree of fit of the Category A data file with the Category B data file by comparing a plurality of the Category A characteristics to respective Category B characteristics, and determining the degree of fit of each of the plurality of Category A characteristics to a respective Category B characteristic;
further wherein the degree of fit of the Category A data file with the Category B data file is evaluated separately from the degree of fit of the Category B data file with the Category A data file.
2. A method of reciprocally publishing and matching data files, the method comprising the steps of:
storing, using a processor or microprocessor coupled to a computer memory, a Category A data file having a set of characteristics corresponding to a Category A item;
storing, using said processor or microprocessor, a Category B data file having a set of characteristics corresponding to a Category B item;
obtaining a set of fit value rules that assign fit values as functions of differences between a desired value and an actual value;
generating a fuzzy logic formulation from a combination of the set of fit value rules;
assigning automatically, using the fuzzy logic formulation, a fit value between corresponding characteristics in the Category A data file and the Category B data file based on a size of the desired value and the sign or magnitude of the result of subtracting the desired value from the actual value; and
using the fuzzy logic formulation to determine, using said processor or microprocessor, the degree of fit of the Category B data file with the Category A data file by comparing a plurality of the Category B characteristics to respective Category A characteristics and determining the degree of fit of each of the plurality of Category B characteristics to a respective Category A characteristic; and
wherein the Category B data file is a first Category B data file, the method ordering the Category B data files according to the relative fits of the respective Category B data files.
3. The method of claim 2 , further comprising the step of using the fuzzy logic formulation to determine the degree of fit of the Category A data file with the Category B data file, wherein the degree of fit of the Category A data file with the Category B data file is determined separately from the degree of fit of the Category B data file with the Category A data file.