src/main/java/ru/ulstu/extractor/GitExtractorApplication.java

@@ -1,17 +1,5 @@
 package ru.ulstu.extractor;
 
-import com.fuzzylite.Engine;
-import com.fuzzylite.FuzzyLite;
-import com.fuzzylite.Op;
-import com.fuzzylite.activation.Highest;
-import com.fuzzylite.defuzzifier.Centroid;
-import com.fuzzylite.norm.s.Maximum;
-import com.fuzzylite.norm.t.AlgebraicProduct;
-import com.fuzzylite.rule.Rule;
-import com.fuzzylite.rule.RuleBlock;
-import com.fuzzylite.term.Trapezoid;
-import com.fuzzylite.variable.InputVariable;
-import com.fuzzylite.variable.OutputVariable;
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
 import org.springframework.scheduling.annotation.EnableScheduling;

src/main/java/ru/ulstu/extractor/core/Route.java

@@ -18,6 +18,7 @@ public class Route {
     public static final String STATISTIC = "statistic";
     public static final String LIST_RULE = "listRules";
     public static final String ADD_RULE = "addRule";
+    public static final String RECOMMENDATIONS = "recommendations";
 
     public static String getLIST_INDEXED_REPOSITORIES() {
         return LIST_INDEXED_REPOSITORIES;
@@ -38,4 +39,8 @@ public class Route {
     public static String getSTATISTIC() {
         return STATISTIC;
     }
+
+    public static String getRECOMMENDATIONS() {
+        return RECOMMENDATIONS;
+    }
 }

src/main/java/ru/ulstu/extractor/rule/controller/RecommendationController.java

@@ -0,0 +1,25 @@
+package ru.ulstu.extractor.rule.controller;
+
+import org.springframework.stereotype.Controller;
+import org.springframework.ui.Model;
+import org.springframework.web.bind.annotation.GetMapping;
+import ru.ulstu.extractor.rule.service.FuzzyInferenceService;
+import springfox.documentation.annotations.ApiIgnore;
+
+import static ru.ulstu.extractor.core.Route.RECOMMENDATIONS;
+
+@Controller
+@ApiIgnore
+public class RecommendationController {
+    private final FuzzyInferenceService fuzzyInferenceService;
+
+    public RecommendationController(FuzzyInferenceService fuzzyInferenceService) {
+        this.fuzzyInferenceService = fuzzyInferenceService;
+    }
+
+    @GetMapping(RECOMMENDATIONS)
+    public String getRecommendations(Model model) {
+        model.addAttribute("recommendations", fuzzyInferenceService.run());
+        return RECOMMENDATIONS;
+    }
+}

src/main/java/ru/ulstu/extractor/rule/service/FuzzyInferenceService.java

@@ -19,7 +19,10 @@ import java.util.stream.Collectors;
 
 @Service
 public class FuzzyInferenceService {
-    private final static String RULE_TEMPLATE = "if %s is %s AND %s is %s then state is %s";
+    private final static String OUTPUT_VARIABLE_NAME = "state";
+    private final static String RULE_TEMPLATE = "if %s is %s and %s is %s then "
+            + OUTPUT_VARIABLE_NAME
+            + " is %s";
     private final RuleService ruleService;
     private final AntecedentValueService antecedentValueService;
 
@@ -49,7 +52,7 @@ public class FuzzyInferenceService {
             input.setName(key);
             input.setDescription("");
             input.setEnabled(true);
-            input.setRange(0.000, 1.000);
+            input.setRange(0.000, antecedentValues.size() + 1);
             input.setLockValueInRange(false);
             for (int i = 0; i < antecedentValues.size(); i++) {
                 input.addTerm(new Triangle(antecedentValues.get(i).getAntecedentValue(), i, i + 2));
@@ -57,6 +60,16 @@ public class FuzzyInferenceService {
             engine.addInputVariable(input);
         });
 
+        OutputVariable output = new OutputVariable();
+        output.setName(OUTPUT_VARIABLE_NAME);
+        output.setDescription("");
+        output.setEnabled(true);
+        output.setRange(0.000, antecedentValues.size() + 1);
+        output.setLockValueInRange(false);
+        for (int i = 0; i < antecedentValues.size(); i++) {
+            output.addTerm(new Triangle(antecedentValues.get(i).getAntecedentValue(), i, i + 2));
+        }
+        engine.addOutputVariable(output);
 
         RuleBlock mamdani = new RuleBlock();
         mamdani.setName("mamdani");
@@ -81,17 +94,19 @@ public class FuzzyInferenceService {
         Engine engine = getFuzzyEngine();
         List<AntecedentValue> antecedentValues = antecedentValueService.getList();
         Map<String, Double> variableValues = new HashMap<>();
+        variableValues.put("COMMITS", 10.0);
+        variableValues.put("AUTHORS", 10.0);
         engine.addRuleBlock(getRuleBlock(engine, variableValues, antecedentValues));
         return getConsequent(engine, variableValues);
     }
 
     private String getConsequent(Engine engine, Map<String, Double> variableValues) {
-        OutputVariable outputVariable = engine.getOutputVariable("state");
+        OutputVariable outputVariable = engine.getOutputVariable(OUTPUT_VARIABLE_NAME);
         for (Map.Entry<String, Double> variableValue : variableValues.entrySet()) {
             InputVariable inputVariable = engine.getInputVariable(variableValue.getKey());
             inputVariable.setValue(variableValue.getValue());
         }
         engine.process();
-        return outputVariable.highestMembership(outputVariable.getValue()).getSecond().getName();
+        return outputVariable == null ? "" : outputVariable.fuzzyOutputValue();
     }
 }

src/main/resources/templates/recommendations.html

@@ -7,22 +7,6 @@
     <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
 </head>
 <div class="container" layout:fragment="content">
-    <table class="table table-striped">
+    <div th:text="${recommendations}"></div>
-        <thead class="thead-dark">
-        <tr>
-            <th scope="col">Рекомендации</th>
-            <th width="10%"></th>
-        </tr>
-        </thead>
-        <tbody>
-        <tr>
-            <td>Увеличить колличество авторов</td>
-        </tr>
-        <tr>
-            <td>Оценнить эффективность авторов</td>
-        </tr>
-        </tbody>
-    </table>
-    <input type="submit" class="btn btn-outline-success" value="Применить правила"/>
 </div>
 </html>