fuzzy-logic

问题 I have 2 datasets and want to do fuzzy join. Here is the two datasets. library(data.table) # data1 dt1 <- fread("NAME State type ABERCOMBIE TOWNSHIP ND TS ABERDEEN TOWNSHIP NJ TS ABERDEEN TOWNSHIP SD TS ABBOTSFORD CITY WI CI ABERDEEN CITY WA CI ADA TOWNSHIP MI TS ADAMS IL TS", header = T) # data2 dt2 <- fread("NAME State type ABERDEEN TWP N J NJ TS ABERDEEN WASH WA CI ABBOTSFORD WIS WI CI ADA TWP MICH MI TS ADA OHIO OH CI ADAMS MASS MA CI ADAMSVILLE ALA AL CI", header = T) Two datasets have

问题 I have been given a new project module which involves fuzzy logic. It is to determine different Hydrometeors using fuzzy logic method.I have very little idea about what fuzzy logic is. So I would like to have some advice from people who have already done projects using fuzzy logic in Java (like what are the basic programming strategies I can adopt). I have come across a fuzzy logc API. People who have used it please comment on how useful it is. 回答1: Fuzzy logic is an abstract concept that is

问题 I am attempting to use Duke to match records from one csv to another.First csv and second both has ID,Model,Price,CompanyName,Review,Url columns. I am trying to match to another csv to find duplicates records. package no.priv.garshol.duke; import no.priv.garshol.duke.matchers.PrintMatchListener; public class RunDuke { public static void main(String[] argv) throws Exception { Configuration config = ConfigLoader .load("/home/kishore/Duke-master/doc/example-data/presonalCare.xml"); Processor

问题 Suppose I have a list:- person_name = ['zakesh', 'oldman LLC', 'bikash', 'goldman LLC', 'zikash','rakesh'] I am trying to group the list in such a way so the Levenshtein distance between two strings is maximum. For finding out the ratio between two words, I am using a python package fuzzywuzzy. Examples :- >>> from fuzzywuzzy import fuzz >>> combined_list = ['rakesh', 'zakesh', 'bikash', 'zikash', 'goldman LLC', 'oldman LLC'] >>> fuzz.ratio('goldman LLC', 'oldman LLC') 95 >>> fuzz.ratio(

问题 I have two sets of data. Existing customers and potential customers. My main objective is to figure out if any of the potential customers are already existing customers. However, the naming conventions of customers across data sets are inconsistent. EXISTING CUSTOMERS Customer / ID Ed's Barbershop / 1002 GroceryTown / 1003 Candy Place / 1004 Handy Man / 1005 POTENTIAL CUSTOMERS Customer Eds Barbershop Grocery Town Candy Place Handee Man Beauty Salon The Apple Farm Igloo Ice Cream Ride-a-Long

问题 How to add jfuzzy lite library in android? 回答1: Anybody who feels problem in implementing Fuzzy Library in Android can easily view my project in Git address which i mentioned here: https://github.com/susylPearl/RNA For successfully completion of the project follow below steps: Download Fuzzylite library from www.fuzzylite.com/downloads After then import it in your project as it is jar file. Then make assets folder and inside it create file with .fcl extension and copy .fcl code for your

问题 I have a dataframe containing the title of an article and the url links associated. My problem is that the url link is not necessary in the row of the corresponding title, example: title | urls Who will be the next president? | https://website/5-ways-to-make-a-cocktail.com 5 ways to make a cocktail | https://website/who-will-be-the-next-president.com 2 millions raised by this startup | https://website/how-did-you-find-your-house.com How did you find your house | https://website/2-millions

问题 I want to find number of similar words between two texts Example $str1=the cat is on the roof $str2=the mouse is on the roof the,is,on,the,roof words are similar in $str1 and $str2 So output will be in number 5 OR In percentage 86% I am try similar_text() function but this function not work as which i want. 回答1: Easy, explode them and then use array_diff: $totalWords = count($array_1); $array_1 = explode(" ", $str1); $array_2 = explode(" ", $str2); $differenceCount = count(array_diff($array_1

问题 I'm working with a couple of AI algorithms at school and I find people use the words Fuzzy Logic to explain any situation that they can solve with a couple of cases. When I go back to the books I just read about how instead of a state going from On to Off it's a diagonal line and something can be in both states but in different "levels". I've read the wikipedia entry and a couple of tutorials and even programmed stuff that "uses fuzzy logic" (an edge detector and a 1-wheel self-controlled

问题 I am stuck in a pixel matching algorithm for finding symbols in an image. I have two images of symbols that I intend to find in an image that has big resolution. Instead of a pixel by pixel matching algorithm, is there a fast algorithm that gives the same result as that of pixel matching algorithm. The result should be similar to: (percentage of pixel matched) divide by (total pixels). My problem is that I wish to find certain symbols in a 1 bit image. The symbol appear with exact similarity