我有一个数组列表，外部数组列表中的每个数组列表都包含以下值：holidayId、country、countryValue、duration、durationValue、accType、accTypeValue、holSubType、holSubTypeValue、weather、weatherValue、pricePP、pricePPValue、recommensionsScore。这些都作为对象保存，我想知道是否有一种方法可以使用 RecommendationScore 将数组列表转换为双精度类型并以这种方式排序？或者我可以解决这个问题的任何其他方式？
提前致谢
公共类 RecAlgorithmImpl {
public static ArrayList<Double> attRanking(ArrayList<Double> attRank){
ArrayList<Double> attWeight = new ArrayList<>();
double weight;
/*Loops through the rankings given in the questionnaire
* and sets a new number for better recommendation accuracy */
for(int i = 0; i < attRank.size();i++){
if(attRank.get(i) == 1){
attRank.set(i, 7.0);
}
else if(attRank.get(i) == 2){
attRank.set(i, 6.0);
}
else if(attRank.get(i) == 3){
attRank.set(i, 5.0);
}
else if(attRank.get(i) == 4){
attRank.set(i, 4.0);
}
else if(attRank.get(i) == 5){
attRank.set(i, 3.0);
}
else if(attRank.get(i) == 6){
attRank.set(i, 2.0);
}
else if(attRank.get(i) == 0){
attRank.set(i, 1.0);
}
}
//Loop through the ranked values and assign a weighting to each attribute
for(int j = 0; j < attRank.size(); j++){
weight = (attRank.get(j))/28;
attWeight.add(weight);
}
for(int k = 0; k < attWeight.size();k++){
System.out.println(attWeight.get(k));
}
return attWeight;
}
public static ArrayList<ArrayList> valuePoints(ArrayList<ArrayList> valuePoints){
//DataRetrievalImpl database = new DataRetrievalImpl();
ArrayList<ArrayList> holiday = new ArrayList<>();
//test info
ArrayList<String> test = new ArrayList<>();
test.add("stuff1");
test.add("stuff2");
test.add("stuff3");
test.add("stuff4");
test.add("stuff5");
test.add("stuff6");
holiday.add(test);
ArrayList<String> test1 = new ArrayList<>();
test1.add("stuff11");
test1.add("stuff12");
test1.add("stuff13");
test1.add("stuff14");
test1.add("stuff15");
test1.add("stuff16");
holiday.add(test1);
ArrayList<ArrayList> holidayScore = new ArrayList<>(); // creates new arraylist to hold the 6 attributes and their value points to be used in recommendation score
//database information
/*boolean condition = false;
String[] select = null;
String[] from = null;
String[] where = null;
holiday = database.getData(condition, select, from, where);*/
//Loops through the holiday arraylist which contains all the holidays and adds the attributes that we need to the new one along with default points
for(int i = 0; i < holiday.size(); i++){
holidayScore.add(new ArrayList());
holidayScore.get(i).add(holiday.get(i).get(0));
holidayScore.get(i).add("0");
holidayScore.get(i).add(holiday.get(i).get(1));
holidayScore.get(i).add("0");
holidayScore.get(i).add(holiday.get(i).get(2));
holidayScore.get(i).add("0");
holidayScore.get(i).add(holiday.get(i).get(3));
holidayScore.get(i).add("0");
holidayScore.get(i).add(holiday.get(i).get(4));
holidayScore.get(i).add("0");
holidayScore.get(i).add(holiday.get(i).get(5));
holidayScore.get(i).add("0");
}
//Loops through the holidayScore arraylist checking the attributes against the valuePoints array list and
//modifying the value points where the two attribute values are equivalent in both arraylists
//each if statement checks that each attrbute value is equivalent, successful matches record the points from valuePoints into holidayScore
for(int j = 0; j < holidayScore.size(); j++){
if(holidayScore.get(j).get(0) == valuePoints.get(j).get(0)){
holidayScore.get(j).set(1, valuePoints.get(j).get(1));
}
if(holidayScore.get(j).get(2) == valuePoints.get(j).get(2)){
holidayScore.get(j).set(3, valuePoints.get(j).get(3));
}
if(holidayScore.get(j).get(4) == valuePoints.get(j).get(4)){
holidayScore.get(j).set(5, valuePoints.get(j).get(5));
}
if(holidayScore.get(j).get(6) == valuePoints.get(j).get(6)){
holidayScore.get(j).set(7, valuePoints.get(j).get(7));
}
if(holidayScore.get(j).get(8) == valuePoints.get(j).get(8)){
holidayScore.get(j).set(9, valuePoints.get(j).get(9));
}
if(holidayScore.get(j).get(10) == valuePoints.get(j).get(10)){
holidayScore.get(j).set(11, valuePoints.get(j).get(11));
}
}
System.out.println(holiday);
System.out.println("----------------------------------------------------");
System.out.println(holidayScore);
return holidayScore;
}
public static void recommendation(ArrayList<Double> weightedAttr, ArrayList<ArrayList> holidayScores){
//each variable holds the current value points for that attribute value
double countryValue;
double durationValue;
double accTypeValue;
double holSubTypeValue;
double weatherValue;
double pricePPValue;
double recScore;
//Loops through the holidayScores arraylist convert the value points into double which is multiplied by the appropriate attribute weighting
//this gives a decimal score for each attribute which is summed up for the final recommendation score and added to the end of the arraylist
for(int k = 0; k < holidayScores.size(); k++){
countryValue = Double.parseDouble(holidayScores.get(k).get(1).toString());
durationValue = Double.parseDouble(holidayScores.get(k).get(3).toString());
accTypeValue = Double.parseDouble(holidayScores.get(k).get(5).toString());
holSubTypeValue = Double.parseDouble(holidayScores.get(k).get(7).toString());
weatherValue = Double.parseDouble(holidayScores.get(k).get(9).toString());
pricePPValue = Double.parseDouble(holidayScores.get(k).get(11).toString());
recScore = (countryValue * weightedAttr.get(0));
recScore = recScore + (durationValue * weightedAttr.get(1));
recScore = recScore + (accTypeValue * weightedAttr.get(2));
recScore = recScore + (holSubTypeValue * weightedAttr.get(3));
recScore = recScore + (weatherValue * weightedAttr.get(4));
recScore = recScore + (pricePPValue * weightedAttr.get(5));
holidayScores.get(k).add(recScore);
}
System.out.println(holidayScores);
}
}