I have a system that has a limited set of categories (about 20). Each user can assign those categories to the system with the item (let's call it or any other place Code: Item 2 Cat A - 10 User Cat B - 10 Cats C Users - 10 User Cat D - 5 Users Code> Edit: After browsing I think this can be solved using roulette wheel selection Genetic Algorithm I answered the same question, which states that I will use fuzzy logic on it. I would like to clarify to you that genetic algorithms are an adaptation method that uses operators which is a copy of development (reproduction and mutation, primarily) and interesting wheel on which the selection of existing solution There is a technique that will be implemented to operators. Although the classification of genetic algorithms has been used for problems, I believe they do not want to look for you at this time. I think that you can be confused with the word "selection", but I do not believe that neither the genetic algorithm nor its selection technique applies here. user categories ). Now I would like to introduce the so-called system categories - those woud classes have been specified based on the data that users classified it. I am facing the problem. In the following situations, the right categories How to choose:
items 1 cat A - 10 user cat b - 7 user cat c - 1 user cat d - 0 user
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